Serialized Form (SuanShuExtension API)

Package com.numericalmethod.suanshu.algorithm.bb
- Class com.numericalmethod.suanshu.algorithm.bb.BranchAndBound extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8035685737957752948L
  - Serialized Fields
    - activeList
```
ActiveList activeList
```
    - incumbent
```
BBNode incumbent
```
    - upper
```
double upper
```
Package com.numericalmethod.suanshu.algorithm.iterative
Package com.numericalmethod.suanshu.algorithm.iterative.monitor
- Class com.numericalmethod.suanshu.algorithm.iterative.monitor.CountMonitor extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8073432073024032830L
  - Serialized Fields
    - count
```
int count
```
- Class com.numericalmethod.suanshu.algorithm.iterative.monitor.IteratesMonitor extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  9062788183639257392L
  - Serialized Fields
    - iterates
```
java.util.List<E> iterates
```
- Class com.numericalmethod.suanshu.algorithm.iterative.monitor.NullMonitor extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6596287393974676696L
- Class com.numericalmethod.suanshu.algorithm.iterative.monitor.VectorMonitor extends IteratesMonitor<Vector> implements Serializable
  
  serialVersionUID:
  
  9126894751545738440L
Package com.numericalmethod.suanshu.algorithm.iterative.tolerance
- Class com.numericalmethod.suanshu.algorithm.iterative.tolerance.AbsoluteTolerance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  9175906990256580510L
  - Serialized Fields
    - tolerance
```
double tolerance
```
- Class com.numericalmethod.suanshu.algorithm.iterative.tolerance.RelativeTolerance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3600039117677638174L
  - Serialized Fields
    - base
```
double base
```
    - tolerance
```
double tolerance
```
Package com.numericalmethod.suanshu.analysis.differentiation
- Class com.numericalmethod.suanshu.analysis.differentiation.Ridders extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5537594420411938832L
  - Serialized Fields
    - dfh
```
com.numericalmethod.suanshu.analysis.differentiation.Ridders.MyFunction dfh
```
      the function to take the limit of when h → 0
    - neville
```
NevilleTable neville
```
      the interpolation method
    - f
```
RealScalarFunction f
```
      the function to take the derivative of
    - order
```
int order
```
      the order of the derivative
    - rate
```
double rate
```
      the rate at which h decreases
    - discretization
```
int discretization
```
      the number of points for extrapolation
Package com.numericalmethod.suanshu.analysis.differentiation.multivariate
- Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.BorderedHessian extends SymmetricMatrix implements Serializable
  
  serialVersionUID:
  
  4348967951808803677L
- Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.FiniteDifference extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3391592849535079180L
  - Serialized Fields
    - f
```
RealScalarFunction f
```
    - varidx
```
int[] varidx
```
- Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.Gradient extends DenseVector implements Serializable
  
  serialVersionUID:
  
  4072894331816678376L
- Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.GradientFunction extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8121699961760645977L
  - Serialized Fields
    - f
```
RealScalarFunction f
```
- Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.Hessian extends SymmetricMatrix implements Serializable
  
  serialVersionUID:
  
  4978942583241781624L
- Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.HessianFunction extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  743189225160782730L
  - Serialized Fields
    - f
```
RealScalarFunction f
```
- Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.Jacobian extends DenseMatrix implements Serializable
  
  serialVersionUID:
  
  8696875770086729549L
- Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.JacobianFunction extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7888638855866686700L
  - Serialized Fields
    - f
```
RealVectorFunction f
```
Package com.numericalmethod.suanshu.analysis.differentiation.univariate
- Class com.numericalmethod.suanshu.analysis.differentiation.univariate.DBeta extends BivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  3021588159867420323L
- Class com.numericalmethod.suanshu.analysis.differentiation.univariate.DBetaRegularized extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  -797416069756096821L
  - Serialized Fields
    - p
```
double p
```
    - q
```
double q
```
- Class com.numericalmethod.suanshu.analysis.differentiation.univariate.DErf extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  8839412393243870050L
- Class com.numericalmethod.suanshu.analysis.differentiation.univariate.Dfdx extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  -6366318361216636186L
  - Serialized Fields
    - dfdx
```
UnivariateRealFunction dfdx
```
- Class com.numericalmethod.suanshu.analysis.differentiation.univariate.DGamma extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  6884205884631569877L
- Class com.numericalmethod.suanshu.analysis.differentiation.univariate.DGaussian extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  5711781848797362742L
  - Serialized Fields
    - phi
```
Gaussian phi
```
- Class com.numericalmethod.suanshu.analysis.differentiation.univariate.DPolynomial extends Polynomial implements Serializable
  
  serialVersionUID:
  
  -7580999927193927667L
- Class com.numericalmethod.suanshu.analysis.differentiation.univariate.FiniteDifference extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  5107729310662611869L
  - Serialized Fields
    - f
```
UnivariateRealFunction f
```
    - order
```
int order
```
    - type
```
FiniteDifference.Type type
```
    - temp
```
double temp
```
Package com.numericalmethod.suanshu.analysis.function
- Class com.numericalmethod.suanshu.analysis.function.Function.EvaluationException extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  -7460675592317861082L
- Class com.numericalmethod.suanshu.analysis.function.SubFunction extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8678654851150737855L
  - Serialized Fields
    - f
```
Function<D,R> f
```
      the original, unrestricted function
    - fixing
```
java.util.Map<K,V> fixing
```
      the restrictions or fixed values
Package com.numericalmethod.suanshu.analysis.function.matrix
- Class com.numericalmethod.suanshu.analysis.function.matrix.R1toConstantMatrix extends R1toMatrix implements Serializable
  
  serialVersionUID:
  
  2847626214990115071L
  - Serialized Fields
    - A
```
ImmutableMatrix A
```
- Class com.numericalmethod.suanshu.analysis.function.matrix.R1toMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6761764536338570486L
- Class com.numericalmethod.suanshu.analysis.function.matrix.R2toMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4846486998952124801L
Package com.numericalmethod.suanshu.analysis.function.polynomial
- Class com.numericalmethod.suanshu.analysis.function.polynomial.CauchyPolynomial extends Polynomial implements Serializable
  
  serialVersionUID:
  
  -4812492469529031401L
- Class com.numericalmethod.suanshu.analysis.function.polynomial.HornerScheme extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8822736658497543572L
  - Serialized Fields
    - remainder
```
double remainder
```
    - quotient
```
Polynomial quotient
```
    - polynomial
```
Polynomial polynomial
```
    - x
```
double x
```
- Class com.numericalmethod.suanshu.analysis.function.polynomial.Polynomial extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  3705849655448395408L
  - Serialized Fields
    - degree
```
int degree
```
    - coefficients
```
double[] coefficients
```
- Class com.numericalmethod.suanshu.analysis.function.polynomial.QuadraticMonomial extends Polynomial implements Serializable
  
  serialVersionUID:
  
  8710959062458865695L
- Class com.numericalmethod.suanshu.analysis.function.polynomial.QuadraticSyntheticDivision extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7031310796572317396L
  - Serialized Fields
    - quotient
```
Polynomial quotient
```
    - a
```
double a
```
    - b
```
double b
```
    - quadratic
```
QuadraticMonomial quadratic
```
    - polynomial
```
Polynomial polynomial
```
- Class com.numericalmethod.suanshu.analysis.function.polynomial.ScaledPolynomial extends Polynomial implements Serializable
  
  serialVersionUID:
  
  -2335984641022711952L
Package com.numericalmethod.suanshu.analysis.function.polynomial.root
- Class com.numericalmethod.suanshu.analysis.function.polynomial.root.CubicRoot extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5682777148896191922L
- Class com.numericalmethod.suanshu.analysis.function.polynomial.root.LinearRoot extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -944456281009027523L
- Class com.numericalmethod.suanshu.analysis.function.polynomial.root.PolyRoot extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -207242243438899895L
  - Serialized Fields
    - p1
```
LinearRoot p1
```
    - p2
```
QuadraticRoot p2
```
    - p3
```
CubicRoot p3
```
    - p4
```
QuarticRoot p4
```
    - poly
```
JenkinsTraubReal poly
```
- Class com.numericalmethod.suanshu.analysis.function.polynomial.root.QuadraticRoot extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4386183515701071704L
- Class com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticRoot extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5176455427307712767L
  - Serialized Fields
    - solver
```
QuarticRoot.QuarticSolver solver
```
- Class com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticRootFerrari extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3623085133945255089L
- Class com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticRootFormula extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7816618622890277804L
Package com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub
- Class com.numericalmethod.suanshu.analysis.function.polynomial.root.jenkinstraub.JenkinsTraubReal extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2342483775253164731L
  - Serialized Fields
    - linear
```
LinearRoot linear
```
    - quadratic
```
QuadraticRoot quadratic
```
Package com.numericalmethod.suanshu.analysis.function.rn2r1
- Class com.numericalmethod.suanshu.analysis.function.rn2r1.BivariateRealFunction extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7183195242329278730L
- Class com.numericalmethod.suanshu.analysis.function.rn2r1.Projection extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6421378845664657285L
  - Serialized Fields
    - f
```
RealVectorFunction f
```
      the original \(R^n \rightarrow R^m\) function
    - dimension
```
int dimension
```
      the dimension/coordinate to take from the output of f; counts from 1
- Class com.numericalmethod.suanshu.analysis.function.rn2r1.QuadraticFunction extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2183588273751802524L
  - Serialized Fields
    - H
```
ImmutableMatrix H
```
    - p
```
ImmutableVector p
```
    - c
```
double c
```
- Class com.numericalmethod.suanshu.analysis.function.rn2r1.RealScalarSubFunction extends SubFunction<java.lang.Double> implements Serializable
  
  serialVersionUID:
  
  7486249328205295706L
Package com.numericalmethod.suanshu.analysis.function.rn2r1.univariate
- Class com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.ContinuedFraction extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  2821356630495175432L
  - Serialized Fields
    - partials
```
ContinuedFraction.Partials partials
```
    - epsilon
```
double epsilon
```
    - maxIterations
```
int maxIterations
```
    - scale
```
int scale
```
- Class com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.ContinuedFraction.MaxIterationsExceededException extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  2124892646413065418L
  - Serialized Fields
    - nIterations
```
int nIterations
```
- Class com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.StepFunction extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  -3058120341184649507L
  - Serialized Fields
    - pairs
```
java.util.TreeSet<E> pairs
```
- Class com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.UnivariateRealFunction extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5143120303102170687L
Package com.numericalmethod.suanshu.analysis.function.rn2rm
- Class com.numericalmethod.suanshu.analysis.function.rn2rm.RealVectorSubFunction extends SubFunction<Vector> implements Serializable
  
  serialVersionUID:
  
  -1368736396154556477L
Package com.numericalmethod.suanshu.analysis.function.special.beta
- Class com.numericalmethod.suanshu.analysis.function.special.beta.Beta extends BivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  5434818344077338810L
  - Serialized Fields
    - lbeta
```
LogBeta lbeta
```
- Class com.numericalmethod.suanshu.analysis.function.special.beta.BetaRegularized extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  4816136862680556369L
  - Serialized Fields
    - p
```
double p
```
    - q
```
double q
```
    - cf
```
ContinuedFraction cf
```
- Class com.numericalmethod.suanshu.analysis.function.special.beta.BetaRegularizedInverse extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  3383096327744603521L
  - Serialized Fields
    - p
```
double p
```
    - q
```
double q
```
    - logBeta
```
LogBeta logBeta
```
    - erfInv
```
ErfInverse erfInv
```
- Class com.numericalmethod.suanshu.analysis.function.special.beta.LogBeta extends BivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  5897335482869232860L
Package com.numericalmethod.suanshu.analysis.function.special.gamma
- Class com.numericalmethod.suanshu.analysis.function.special.gamma.Digamma extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  -6895024485624152442L
- Class com.numericalmethod.suanshu.analysis.function.special.gamma.GammaGergoNemes extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  2233402377012500872L
- Class com.numericalmethod.suanshu.analysis.function.special.gamma.GammaLanczos extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  9012006985583480098L
  - Serialized Fields
    - lanczos
```
Lanczos lanczos
```
- Class com.numericalmethod.suanshu.analysis.function.special.gamma.GammaLanczosQuick extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  -5455697118989056356L
  - Serialized Fields
    - lanczos
```
Lanczos lanczos
```
- Class com.numericalmethod.suanshu.analysis.function.special.gamma.GammaLowerIncomplete extends BivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  8751729405577661969L
- Class com.numericalmethod.suanshu.analysis.function.special.gamma.GammaRegularizedP extends BivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  -1950456250919065314L
  - Serialized Fields
    - qgamma
```
GammaRegularizedQ qgamma
```
- Class com.numericalmethod.suanshu.analysis.function.special.gamma.GammaRegularizedPInverse extends BivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  -2882839868104497488L
- Class com.numericalmethod.suanshu.analysis.function.special.gamma.GammaRegularizedQ extends BivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  3986047279028091896L
- Class com.numericalmethod.suanshu.analysis.function.special.gamma.GammaUpperIncomplete extends BivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  8829997232758763926L
- Class com.numericalmethod.suanshu.analysis.function.special.gamma.Lanczos extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  449917078948627261L
  - Serialized Fields
    - scale
```
int scale
```
    - g
```
double g
```
    - n
```
int n
```
    - P4double
```
DenseMatrix P4double
```
    - P
```
RealMatrix P
```
    - B
```
RealMatrix B
```
    - C
```
RealMatrix C
```
    - D
```
RealMatrix D
```
    - F
```
RealMatrix F
```
- Class com.numericalmethod.suanshu.analysis.function.special.gamma.LogGamma extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  3571386316018212770L
  - Serialized Fields
    - method
```
LogGamma.Method method
```
    - lanczos
```
Lanczos lanczos
```
- Class com.numericalmethod.suanshu.analysis.function.special.gamma.Trigamma extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  7458715917976438218L
Package com.numericalmethod.suanshu.analysis.function.special.gaussian
- Class com.numericalmethod.suanshu.analysis.function.special.gaussian.CumulativeNormalHastings extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  -6132352561754021414L
- Class com.numericalmethod.suanshu.analysis.function.special.gaussian.CumulativeNormalInverse extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  2090986869273135091L
- Class com.numericalmethod.suanshu.analysis.function.special.gaussian.CumulativeNormalMarsaglia extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  4449150387339004250L
- Class com.numericalmethod.suanshu.analysis.function.special.gaussian.Erf extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  -4301869192561906961L
- Class com.numericalmethod.suanshu.analysis.function.special.gaussian.Erfc extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  6816314711146493704L
- Class com.numericalmethod.suanshu.analysis.function.special.gaussian.ErfInverse extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  6179434790678555676L
- Class com.numericalmethod.suanshu.analysis.function.special.gaussian.Gaussian extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  1657950778025216168L
  - Serialized Fields
    - a
```
double a
```
    - b
```
double b
```
    - c
```
double c
```
Package com.numericalmethod.suanshu.analysis.function.tuple
- Class com.numericalmethod.suanshu.analysis.function.tuple.BinaryRelation extends java.util.TreeSet<Pair> implements Serializable
  
  serialVersionUID:
  
  -7640074154238242744L
- Class com.numericalmethod.suanshu.analysis.function.tuple.Pair extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2758689588319769569L
  - Serialized Fields
    - x
```
double x
```
      x
    - y
```
double y
```
      y
Package com.numericalmethod.suanshu.analysis.integration.univariate
- Class com.numericalmethod.suanshu.analysis.integration.univariate.Lebesgue extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5454833910954278361L
  - Serialized Fields
    - fx
```
double[] fx
```
      the function values
    - du
```
double[] du
```
      the measure values
Package com.numericalmethod.suanshu.analysis.integration.univariate.riemann
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.ChangeOfVariable extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1733752276039024374L
  - Serialized Fields
    - integrator
```
Integrator integrator
```
    - change
```
SubstitutionRule change
```
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Midpoint extends NewtonCotes implements Serializable
  
  serialVersionUID:
  
  6464715366980382707L
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.NewtonCotes extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6012165378460983635L
  - Serialized Fields
    - rate
```
int rate
```
      This is the rate of sub-dividing an interval. Starting with the whole interval (b-a), we divide each sub-interval into rate many intervals. For example, when rate = 2, we double the number of intervals, hence abscissas, in each iteration. Note: the number of abscissas grows exponentially.
    - type
```
NewtonCotes.Type type
```
      This indicates whether the two end points are included for computation.
    - precision
```
double precision
```
      the convergence threshold. The iterative procedure converges when the relative difference between two successive sums is less than precision.
    - maxIterations
```
int maxIterations
```
      This is the maximum number of iterations for this iterative procedure.
      For those integrals that do not converge, we need to put a bound on the number of iterations. Note that the number of abscissas grows exponentially with each iteration, i.e., rate^iterations. Thus, be careful when choosing maxIterations, as it may severely affect the performance. It should not be too big.
    - h
```
double h
```
      the discretization size for each iteration
    - nAbscissas
```
int nAbscissas
```
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Riemann extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2707299947457400115L
  - Serialized Fields
    - maxIterations
```
int maxIterations
```
    - precision
```
double precision
```
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Romberg extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2170723818166982576L
  - Serialized Fields
    - integrator
```
IterativeIntegrator integrator
```
      the iterative integrator
    - neville
```
NevilleTable neville
```
      the extrapolation formula
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Simpson extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4169986784928992231L
  - Serialized Fields
    - t0
```
double t0
```
    - t1
```
double t1
```
    - trapezoidal
```
Trapezoidal trapezoidal
```
    - maxIterations
```
int maxIterations
```
    - precision
```
double precision
```
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.Trapezoidal extends NewtonCotes implements Serializable
  
  serialVersionUID:
  
  -8696749324149820791L
Package com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.DoubleExponential extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7481610398311945578L
  - Serialized Fields
    - x
```
UnivariateRealFunction x
```
    - dx
```
UnivariateRealFunction dx
```
    - f
```
UnivariateRealFunction f
```
    - dt
```
double dt
```
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.DoubleExponential4HalfRealLine extends DoubleExponential implements Serializable
  
  serialVersionUID:
  
  739397503870677622L
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.DoubleExponential4RealLine extends DoubleExponential implements Serializable
  
  serialVersionUID:
  
  6191188714261933511L
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.Exponential extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8040604855599353318L
  - Serialized Fields
    - a
```
double a
```
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.InvertingVariable extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3438047538851880795L
  - Serialized Fields
    - a
```
double a
```
    - b
```
double b
```
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.MixedRule extends DoubleExponential implements Serializable
  
  serialVersionUID:
  
  -2545479446006824984L
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.NoChangeOfVariable extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  760738865066672873L
  - Serialized Fields
    - a
```
double a
```
    - b
```
double b
```
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.PowerLawSingularity extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6109498539782146387L
  - Serialized Fields
    - type
```
PowerLawSingularity.PowerLawSingularityType type
```
    - gamma
```
double gamma
```
    - a
```
double a
```
    - b
```
double b
```
- Class com.numericalmethod.suanshu.analysis.integration.univariate.riemann.substitution.StandardInterval extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3444091777344749739L
  - Serialized Fields
    - a
```
double a
```
    - b
```
double b
```
Package com.numericalmethod.suanshu.analysis.interpolation
- Class com.numericalmethod.suanshu.analysis.interpolation.DuplicatedAbscissae extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  3829595566910378164L
- Class com.numericalmethod.suanshu.analysis.interpolation.LinearInterpolator extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  -1824171806302050110L
  - Serialized Fields
    - x
```
double[] x
```
    - y
```
double[] y
```
- Class com.numericalmethod.suanshu.analysis.interpolation.NevilleTable extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  -4248771621666410317L
  - Serialized Fields
    - x
```
double[] x
```
    - table
```
double[][] table
```
    - lastX
```
double lastX
```
    - N
```
int N
```
    - N0
```
int N0
```
Package com.numericalmethod.suanshu.analysis.sequence
- Class com.numericalmethod.suanshu.analysis.sequence.Fibonacci extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8498924352907631286L
  - Serialized Fields
    - fibonacci
```
double[] fibonacci
```
- Class com.numericalmethod.suanshu.analysis.sequence.Summation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7599980818735063198L
  - Serialized Fields
    - term
```
Summation.Term term
```
    - threshold
```
double threshold
```
Package com.numericalmethod.suanshu.analysis.uniroot
- Class com.numericalmethod.suanshu.analysis.uniroot.Brent extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3514278697022536072L
  - Serialized Fields
    - tol
```
double tol
```
    - maxIterations
```
int maxIterations
```
- Class com.numericalmethod.suanshu.analysis.uniroot.Halley extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7358430982118678935L
  - Serialized Fields
    - tol
```
double tol
```
    - maxIterations
```
int maxIterations
```
- Class com.numericalmethod.suanshu.analysis.uniroot.Newton extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5224923946840298570L
  - Serialized Fields
    - tol
```
double tol
```
    - maxIterations
```
int maxIterations
```
- Class com.numericalmethod.suanshu.analysis.uniroot.NoRootFoundException extends java.lang.Exception implements Serializable
  
  serialVersionUID:
  
  8238004085481543660L
  - Serialized Fields
    - x
```
double x
```
    - fx
```
double fx
```
Package com.numericalmethod.suanshu.datastructure
- Class com.numericalmethod.suanshu.datastructure.FlexibleTable extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1755228569700754524L
  - Serialized Fields
    - count
```
int count
```
    - rowLabels
```
java.util.ArrayList<E> rowLabels
```
    - colLabels
```
java.util.ArrayList<E> colLabels
```
    - table
```
java.util.ArrayList<E> table
```
- Class com.numericalmethod.suanshu.datastructure.MathTable extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  914723222626955883L
  - Serialized Fields
    - EPSILON
```
double EPSILON
```
    - headers
```
java.util.Map<K,V> headers
```
      a translation table to convert header strings to header indices
    - table
```
java.util.TreeMap<K,V> table
```
      store the rows, sorted according the row indices in ascending order
- Class com.numericalmethod.suanshu.datastructure.MathTable.Row extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3853558447288022118L
  - Serialized Fields
    - index
```
double index
```
      the row index
    - values
```
double[] values
```
      the column values in the row
Package com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles
- Class com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles.MovingAverage extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3117753900715895615L
  - Serialized Fields
    - side
```
MovingAverage.Side side
```
    - filter
```
double[] filter
```
- Class com.numericalmethod.suanshu.dsp.univariate.operation.system.doubles.MovingAverageByExtension extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8153334486438211328L
  - Serialized Fields
    - filter
```
double[] filter
```
Package com.numericalmethod.suanshu.interval
- Class com.numericalmethod.suanshu.interval.Interval extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  125006933785803674L
  - Serialized Fields
    - begin
```
java.lang.Comparable<T> begin
```
    - end
```
java.lang.Comparable<T> end
```
- Class com.numericalmethod.suanshu.interval.Intervals extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2628799374326611334L
  - Serialized Fields
    - intervals
```
java.util.List<E> intervals
```
- Class com.numericalmethod.suanshu.interval.RealInterval extends Interval<java.lang.Double> implements Serializable
  
  serialVersionUID:
  
  -5585075682026914305L
Package com.numericalmethod.suanshu.mathstructure
- Class com.numericalmethod.suanshu.mathstructure.Field.InverseNonExistent extends java.lang.Exception implements Serializable
  
  serialVersionUID:
  
  -7477184035941912758L
Package com.numericalmethod.suanshu.matrix
- Class com.numericalmethod.suanshu.matrix.MatrixAccessException extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  -2611333536524922216L
- Class com.numericalmethod.suanshu.matrix.MatrixMismatchException extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  -6313113136403187170L
- Class com.numericalmethod.suanshu.matrix.MatrixSingularityException extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  -3761851452175185790L
Package com.numericalmethod.suanshu.matrix.doubles
- Class com.numericalmethod.suanshu.matrix.doubles.ImmutableMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -748276178561189993L
  - Serialized Fields
    - A
```
Matrix A
```
Package com.numericalmethod.suanshu.matrix.doubles.factorization.diagonalization
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.diagonalization.BiDiagonalization extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7782647114457945409L
  - Serialized Fields
    - Us
```
Householder[] Us
```
    - Vs
```
Householder[] Vs
```
    - B
```
BidiagonalMatrix B
```
    - nRows
```
int nRows
```
    - nCols
```
int nCols
```
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.diagonalization.TriDiagonalization extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1878191406474021778L
  - Serialized Fields
    - decomp
```
HessenbergDecomposition decomp
```
Package com.numericalmethod.suanshu.matrix.doubles.factorization.eigen
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.CharacteristicPolynomial extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7914663322801591718L
  - Serialized Fields
    - A
```
Matrix A
```
    - polynomial
```
Polynomial polynomial
```
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Eigen extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6655686858462014947L
  - Serialized Fields
    - A
```
Matrix A
```
    - map
```
java.util.TreeMap<K,V> map
```
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.EigenDecomposition extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4781617646609099120L
  - Serialized Fields
    - dim
```
int dim
```
    - eigen
```
Eigen eigen
```
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.EigenProperty extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8744357437662501436L
  - Serialized Fields
    - eigenvalue
```
java.lang.Number eigenvalue
```
      the eigenvalue, real or complex
    - multiplicity
```
int multiplicity
```
      algebraic multiplicity of an eigenvalue is defined as the multiplicity of the root of the characteristic polynomial
    - eigenBasis
```
java.util.List<E> eigenBasis
```
      list of basis of the eigenvector space of this eigenvalue; geometric multiplicity is the number of linearly independent eigenvectors
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.InverseIteration extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7798338334998507352L
  - Serialized Fields
    - A
```
ImmutableMatrix A
```
    - A1inv
```
ImmutableMatrix A1inv
```
    - criterion
```
InverseIteration.StoppingCriterion criterion
```
Package com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.Hessenberg extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4232999467711907695L
  - Serialized Fields
    - deflationCriterion
```
Hessenberg.DeflationCriterion deflationCriterion
```
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.Hessenberg.DefaultDeflationCriterion extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2211453200022354087L
  - Serialized Fields
    - threshold
```
double threshold
```
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.Hessenberg.Deflation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4932248742585832678L
  - Serialized Fields
    - ul
```
int ul
```
      H₂₂ an unreduced Hessenberg in Algorithm 7.5.2 has the dimension \((l_r-r_l+1) \times (l_r-u_l+1)\). We try to minimize \(u_l\) (hence maximize the H₂₂ dimension).
    - lr
```
int lr
```
      H₃₃ an upper quasi-triangular in Algorithm 7.5.2 has dimension \((n-l_r) \times (n-l_r)\). We try to minimize \(l_r\) (hence maximize the H₃₃ dimension).
    - isQuasiTriangular
```
boolean isQuasiTriangular
```
      true if the matrix is a quasi-triangular matrix
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.HessenbergDecomposition extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1077186363386352578L
  - Serialized Fields
    - H
```
Matrix H
```
    - Q
```
Matrix Q
```
    - Hs
```
Householder[] Hs
```
    - dim
```
int dim
```
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.qr.QRAlgorithm extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -399954291675017683L
  - Serialized Fields
    - A
```
Matrix A
```
    - H
```
Matrix H
```
    - dim
```
int dim
```
    - Qs
```
java.util.List<E> Qs
```
    - epsilon
```
double epsilon
```
    - maxIterations
```
int maxIterations
```
Package com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination.GaussianElimination extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6901837363847532393L
  - Serialized Fields
    - T
```
ElementaryOperation T
```
    - U
```
ElementaryOperation U
```
    - L
```
Matrix L
```
    - P
```
PermutationMatrix P
```
    - usePivoting
```
boolean usePivoting
```
    - nRows
```
int nRows
```
    - nCols
```
int nCols
```
    - epsilon
```
double epsilon
```
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination.GaussianElimination4SquareMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3810482088189779549L
  - Serialized Fields
    - instance
```
GaussianElimination instance
```
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination.GaussJordanElimination extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4009857515238012655L
  - Serialized Fields
    - T
```
ElementaryOperation T
```
    - U
```
ElementaryOperation U
```
    - usePivoting
```
boolean usePivoting
```
    - nRows
```
int nRows
```
    - nCols
```
int nCols
```
    - epsilon
```
double epsilon
```
Package com.numericalmethod.suanshu.matrix.doubles.factorization.qr
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.qr.GramSchmidt extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4231549462561446102L
  - Serialized Fields
    - Q
```
Matrix Q
```
    - R
```
UpperTriangularMatrix R
```
    - P
```
PermutationMatrix P
```
    - rank
```
int rank
```
    - zero
```
DenseVector zero
```
    - nRows
```
int nRows
```
    - nCols
```
int nCols
```
    - epsilon
```
double epsilon
```
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.qr.HouseholderReflection extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2449844939820757631L
  - Serialized Fields
    - R
```
UpperTriangularMatrix R
```
    - cols
```
Vector[] cols
```
    - Hs
```
Householder[] Hs
```
    - nRows
```
int nRows
```
    - nCols
```
int nCols
```
    - epsilon
```
double epsilon
```
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QR extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2022974385849390037L
  - Serialized Fields
    - impl
```
QRDecomposition impl
```
Package com.numericalmethod.suanshu.matrix.doubles.factorization.svd
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.svd.GloubKahanSVD extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1280864938173727391L
  - Serialized Fields
    - D
```
DiagonalMatrix D
```
    - Ut
```
Matrix Ut
```
    - V
```
Matrix V
```
    - A
```
Matrix A
```
    - nrows
```
int nrows
```
    - ncols
```
int ncols
```
    - doUV
```
boolean doUV
```
    - normalize
```
boolean normalize
```
    - epsilon
```
double epsilon
```
    - maxIterations
```
int maxIterations
```
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVD extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2356114818371744085L
  - Serialized Fields
    - A
```
Matrix A
```
    - fat
```
boolean fat
```
    - doUV
```
boolean doUV
```
    - impl
```
SVDDecomposition impl
```
    - epsilon
```
double epsilon
```
Package com.numericalmethod.suanshu.matrix.doubles.factorization.triangle
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.Cholesky extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  93030430452356157L
  - Serialized Fields
    - L
```
LowerTriangularMatrix L
```
      the resultant lower triangular matrix
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.Doolittle extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6847772597326046849L
  - Serialized Fields
    - L
```
LowerTriangularMatrix L
```
    - U
```
UpperTriangularMatrix U
```
    - P
```
PermutationMatrix P
```
    - data
```
double[][] data
```
    - dim
```
int dim
```
    - usePivoting
```
boolean usePivoting
```
    - epsilon
```
double epsilon
```
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LDL extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8685213779283326983L
  - Serialized Fields
    - L
```
LowerTriangularMatrix L
```
    - D
```
DiagonalMatrix D
```
    - dim
```
int dim
```
    - A
```
Matrix A
```
- Class com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LU extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2257736407594223847L
  - Serialized Fields
    - impl
```
LUDecomposition impl
```
Package com.numericalmethod.suanshu.matrix.doubles.linearsystem
- Class com.numericalmethod.suanshu.matrix.doubles.linearsystem.Kernel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8216841706505742345L
  - Serialized Fields
    - U
```
Matrix U
```
    - T
```
Matrix T
```
    - basis
```
java.util.Map<K,V> basis
```
    - nRows
```
int nRows
```
    - nCols
```
int nCols
```
    - method
```
Kernel.Method method
```
    - epsilon
```
double epsilon
```
- Class com.numericalmethod.suanshu.matrix.doubles.linearsystem.LinearSystemSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6074098164968836577L
  - Serialized Fields
    - epsilon
```
double epsilon
```
- Class com.numericalmethod.suanshu.matrix.doubles.linearsystem.LinearSystemSolver.NoSolution extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  -7440607730465062854L
- Class com.numericalmethod.suanshu.matrix.doubles.linearsystem.LSProblem extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6764163247980656743L
  - Serialized Fields
    - A
```
ImmutableMatrix A
```
    - b
```
ImmutableVector b
```
    - maxIteration
```
int maxIteration
```
    - tolerance
```
Tolerance tolerance
```
    - initialGuess
```
Vector initialGuess
```
    - leftPreconditioner
```
Preconditioner leftPreconditioner
```
    - rightPreconditioner
```
Preconditioner rightPreconditioner
```
Package com.numericalmethod.suanshu.matrix.doubles.matrixtype
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.GivensMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  682800064155621760L
  - Serialized Fields
    - dim
```
int dim
```
    - i
```
int i
```
    - j
```
int j
```
    - c
```
double c
```
    - s
```
double s
```
    - math
```
MatrixMathOperation math
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.HilbertMatrix extends SymmetricMatrix implements Serializable
  
  serialVersionUID:
  
  -3220602941709783460L
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.MatrixStorageImpl extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4410193370186382376L
  - Serialized Fields
    - storage
```
MatrixAccess storage
```
    - nRows
```
int nRows
```
    - nCols
```
int nCols
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.PermutationMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1220655810109622445L
  - Serialized Fields
    - data
```
int[] data
```
      This implementation uses row view. We store the column position of the 1 in each row. For examples,
      | 1 0 0 | | 0 1 0 | is | 0 0 1 | [1, 2, 3]; | 0 0 1 | | 0 1 0 | is | 1 0 0 | [3, 2, 1]
    - sign
```
int sign
```
    - dim
```
int dim
```
Package com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.DenseData extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -712015746192931442L
  - Serialized Fields
    - data
```
double[] data
```
      stores the values of matrix entries
    - doubleArrayOperation
```
DoubleArrayOperation doubleArrayOperation
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.DenseMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  913612418229957283L
  - Serialized Fields
    - storage
```
com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.DenseMatrix.MyDenseDataImpl storage
```
    - math
```
MatrixMathOperation math
```
Package com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.BidiagonalMatrix extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.DiagonalDataMatrix implements Serializable
  
  serialVersionUID:
  
  5481272892281845716L
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.DiagonalMatrix extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.DiagonalDataMatrix implements Serializable
  
  serialVersionUID:
  
  1107051916861092171L
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.TridiagonalMatrix extends com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.diagonal.DiagonalDataMatrix implements Serializable
  
  serialVersionUID:
  
  -1047925018777037952L
Package com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.LowerTriangularMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4533029730981297995L
  - Serialized Fields
    - storage
```
com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.LowerTriangularMatrix.MyDenseDataImpl storage
```
    - dim
```
int dim
```
    - math
```
MatrixMathOperation math
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.SymmetricMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8785613448975237188L
  - Serialized Fields
    - dim
```
int dim
```
    - L
```
LowerTriangularMatrix L
```
      storage
    - math
```
MatrixMathOperation math
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.UpperTriangularMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2465365233026036670L
  - Serialized Fields
    - storage
```
com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.UpperTriangularMatrix.MyDenseDataImpl storage
```
    - dim
```
int dim
```
    - math
```
MatrixMathOperation math
```
Package com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.mathoperation.SimpleMatrixMathOperation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1558780245378647423L
Package com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.Coordinates extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  9136832551492924322L
  - Serialized Fields
    - i
```
int i
```
      the row index
    - j
```
int j
```
      the column index
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.CSRSparseMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2682025344288772113L
  - Serialized Fields
    - nnz
```
int nnz
```
      number of non-zeros
    - row_ptr
```
int[] row_ptr
```
    - col_ind
```
int[] col_ind
```
    - value
```
double[] value
```
      non-zero values
    - nRows
```
int nRows
```
    - nCols
```
int nCols
```
    - math
```
MatrixMathOperation math
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.DOKSparseMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7930412186492754879L
  - Serialized Fields
    - dictionary
```
java.util.HashMap<K,V> dictionary
```
    - nRows
```
int nRows
```
    - nCols
```
int nCols
```
    - math
```
MatrixMathOperation math
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.LILSparseMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8254606762066179935L
  - Serialized Fields
    - rows
```
SparseVector[] rows
```
    - nRows
```
int nRows
```
    - nCols
```
int nCols
```
    - math
```
MatrixMathOperation math
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseEntry extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -288278388701027822L
  - Serialized Fields
    - coordinates
```
Coordinates coordinates
```
      the coordinates of this entry
    - value
```
double value
```
      the entry value
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseVector extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6809252703013113169L
  - Serialized Fields
    - size
```
int size
```
    - entries
```
java.util.LinkedList<E> entries
```
      Store non-zero entries in sorted order of indices
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.SparseVector.Entry extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2004363734915002219L
  - Serialized Fields
    - index
```
int index
```
    - value
```
double value
```
Package com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.ConvergenceFailure extends java.lang.Exception implements Serializable
  
  serialVersionUID:
  
  985341312995623567L
  - Serialized Fields
    - reason
```
ConvergenceFailure.Reason reason
```
Package com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.BiconjugateGradientSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6441798393682907316L
  - Serialized Fields
    - residualRefreshRate
```
int residualRefreshRate
```
    - leftPreconditionerFactory
```
PreconditionerFactory leftPreconditionerFactory
```
    - maxIteration
```
int maxIteration
```
    - tolerance
```
Tolerance tolerance
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.BiconjugateGradientStabilizedSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4442408589548324150L
  - Serialized Fields
    - residualRefreshRate
```
int residualRefreshRate
```
    - leftPreconditionerFactory
```
PreconditionerFactory leftPreconditionerFactory
```
    - maxIteration0
```
int maxIteration0
```
    - tolerance
```
Tolerance tolerance
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientNormalErrorSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4214968533839102785L
  - Serialized Fields
    - residualRefreshRate
```
int residualRefreshRate
```
    - leftPreconditionerFactory
```
PreconditionerFactory leftPreconditionerFactory
```
    - maxIteration0
```
int maxIteration0
```
    - tolerance
```
Tolerance tolerance
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientNormalResidualSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8938054221330557773L
  - Serialized Fields
    - residualRefreshRate
```
int residualRefreshRate
```
    - leftPreconditionerFactory
```
PreconditionerFactory leftPreconditionerFactory
```
    - maxIteration0
```
int maxIteration0
```
    - tolerance
```
Tolerance tolerance
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4706576658213412030L
  - Serialized Fields
    - residualRefreshRate
```
int residualRefreshRate
```
    - leftPreconditionerFactory
```
PreconditionerFactory leftPreconditionerFactory
```
    - maxIteration0
```
int maxIteration0
```
    - tolerance
```
Tolerance tolerance
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.ConjugateGradientSquaredSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1933405844034022121L
  - Serialized Fields
    - residualRefreshRate
```
int residualRefreshRate
```
    - leftPreconditionerFactory
```
PreconditionerFactory leftPreconditionerFactory
```
    - maxIteration0
```
int maxIteration0
```
    - tolerance
```
Tolerance tolerance
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.GeneralizedConjugateResidualSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1214846907449845466L
  - Serialized Fields
    - m0
```
int m0
```
    - leftPreconditionerFactory
```
PreconditionerFactory leftPreconditionerFactory
```
    - maxIteration0
```
int maxIteration0
```
    - tolerance
```
Tolerance tolerance
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.GeneralizedMinimalResidualSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7429729479363535896L
  - Serialized Fields
    - m0
```
int m0
```
      restart parameter of GMRES
    - leftPreconditionerFactory
```
PreconditionerFactory leftPreconditionerFactory
```
    - maxIteration0
```
int maxIteration0
```
    - tolerance
```
Tolerance tolerance
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.MinimalResidualSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1588842416262042715L
  - Serialized Fields
    - leftPreconditionerFactory
```
PreconditionerFactory leftPreconditionerFactory
```
    - maxIteration0
```
int maxIteration0
```
    - tolerance
```
Tolerance tolerance
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.QuasiMinimalResidualSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8221591375750753692L
  - Serialized Fields
    - residualRefreshRate
```
int residualRefreshRate
```
    - leftPreconditionerFactory
```
PreconditionerFactory leftPreconditionerFactory
```
    - rightPreconditionerFactory
```
PreconditionerFactory rightPreconditionerFactory
```
    - maxIteration0
```
int maxIteration0
```
    - tolerance
```
Tolerance tolerance
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.SteepestDescentSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -470523542175474769L
  - Serialized Fields
    - residualRefreshRate
```
int residualRefreshRate
```
    - leftPreconditionerFactory
```
PreconditionerFactory leftPreconditionerFactory
```
    - maxIteration
```
int maxIteration
```
    - tolerance
```
Tolerance tolerance
```
Package com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.IdentityPreconditioner extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1281553017666452147L
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.JacobiPreconditioner extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4069750180173368662L
  - Serialized Fields
    - Dinv
```
Vector Dinv
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.preconditioner.SSORPreconditioner extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7273554017473138402L
  - Serialized Fields
    - A
```
Matrix A
```
    - omega
```
double omega
```
Package com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.GaussSeidelSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7278886213013721556L
  - Serialized Fields
    - sor
```
SuccessiveOverrelaxationSolver sor
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.JacobiSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8682115070663017343L
  - Serialized Fields
    - maxIteration
```
int maxIteration
```
    - tolerance
```
Tolerance tolerance
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SORSweep extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4891128599681235748L
  - Serialized Fields
    - A
```
Matrix A
```
    - b
```
Vector b
```
    - n
```
int n
```
    - omega
```
double omega
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SuccessiveOverrelaxationSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7452530471417021649L
  - Serialized Fields
    - omega
```
double omega
```
      the extrapolation factor, i.e., weight for weighted averaging
    - maxIteration
```
int maxIteration
```
    - tolerance
```
Tolerance tolerance
```
- Class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.stationary.SymmetricSuccessiveOverrelaxationSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2858810016895012746L
  - Serialized Fields
    - omega
```
double omega
```
      the extrapolation factor, i.e., weight for weighted averaging
    - maxIteration
```
int maxIteration
```
    - tolerance
```
Tolerance tolerance
```
Package com.numericalmethod.suanshu.matrix.doubles.operation
- Class com.numericalmethod.suanshu.matrix.doubles.operation.CongruentMatrix extends DenseMatrix implements Serializable
  
  serialVersionUID:
  
  8558276294779600860L
- Class com.numericalmethod.suanshu.matrix.doubles.operation.ElementaryOperation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2103159961089352619L
  - Serialized Fields
    - T
```
DenseMatrix T
```
      the resultant transformation
- Class com.numericalmethod.suanshu.matrix.doubles.operation.FastKroneckerProduct extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5206671555065073115L
  - Serialized Fields
    - A
```
Matrix A
```
    - B
```
Matrix B
```
    - math
```
MatrixMathOperation math
```
- Class com.numericalmethod.suanshu.matrix.doubles.operation.Householder extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7079550327381935348L
  - Serialized Fields
    - v4H
```
Vector v4H
```
      the vector that defines the Householder matrix
- Class com.numericalmethod.suanshu.matrix.doubles.operation.Householder.Context extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -675449652653218389L
  - Serialized Fields
    - generator
```
Vector generator
```
      the defining vector which is perpendicular to the Householder hyperplane
    - lambda
```
double lambda
```
      the norm of v with the sign chosen to be the opposite of the first coordinate of v
- Class com.numericalmethod.suanshu.matrix.doubles.operation.InnerProduct extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6917233747435310731L
  - Serialized Fields
    - value
```
double value
```
- Class com.numericalmethod.suanshu.matrix.doubles.operation.Inverse extends DenseMatrix implements Serializable
  
  serialVersionUID:
  
  5148490415087417899L
  - Serialized Fields
    - dim
```
int dim
```
      the dimension of the square matrix
- Class com.numericalmethod.suanshu.matrix.doubles.operation.KroneckerProduct extends DenseMatrix implements Serializable
  
  serialVersionUID:
  
  -4582676222746506229L
- Class com.numericalmethod.suanshu.matrix.doubles.operation.MAT extends DenseMatrix implements Serializable
  
  serialVersionUID:
  
  4168458858372004876L
- Class com.numericalmethod.suanshu.matrix.doubles.operation.Pow extends DenseMatrix implements Serializable
  
  serialVersionUID:
  
  -499380591504631156L
  - Serialized Fields
    - base
```
double base
```
    - scale
```
int scale
```
    - B
```
ImmutableMatrix B
```
- Class com.numericalmethod.suanshu.matrix.doubles.operation.PseudoInverse extends DenseMatrix implements Serializable
  
  serialVersionUID:
  
  -1061678635069958687L
- Class com.numericalmethod.suanshu.matrix.doubles.operation.SimilarMatrix extends DenseMatrix implements Serializable
  
  serialVersionUID:
  
  8621980676455081209L
- Class com.numericalmethod.suanshu.matrix.doubles.operation.SubMatrixRef extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2473765611495881496L
  - Serialized Fields
    - ref
```
Matrix ref
```
      the matrix to be referenced
    - rowFrom
```
int rowFrom
```
      the starting row, counting from 1
    - rowTo
```
int rowTo
```
      the ending row, counting from 1
    - colFrom
```
int colFrom
```
      the starting column, counting from 1
    - colTo
```
int colTo
```
      the ending column, counting from 1
    - matrixComputation
```
MatrixMathOperation matrixComputation
```
- Class com.numericalmethod.suanshu.matrix.doubles.operation.SVEC extends DenseVector implements Serializable
  
  serialVersionUID:
  
  -4457723928419783862L
- Class com.numericalmethod.suanshu.matrix.doubles.operation.SymmetricKronecker extends DenseMatrix implements Serializable
  
  serialVersionUID:
  
  5024537793027965311L
Package com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite
- Class com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.CholeskyWang2006 extends LowerTriangularMatrix implements Serializable
  
  serialVersionUID:
  
  -3448293292969524680L
- Class com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.GoldfeldQuandtTrotter extends DenseMatrix implements Serializable
  
  serialVersionUID:
  
  1132887323480537272L
- Class com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.MatthewsDavies extends DenseMatrix implements Serializable
  
  serialVersionUID:
  
  5356666386748673074L
  - Serialized Fields
    - L
```
LowerTriangularMatrix L
```
    - Lt
```
UpperTriangularMatrix Lt
```
    - D
```
DiagonalMatrix D
```
    - Dhat
```
DiagonalMatrix Dhat
```
- Class com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.PositiveDefiniteMatrixByPositiveDiagonal extends DenseMatrix implements Serializable
  
  serialVersionUID:
  
  627252300579473332L
- Class com.numericalmethod.suanshu.matrix.doubles.operation.positivedefinite.PositiveSemiDefiniteMatrixNonNegativeDiagonal extends PositiveDefiniteMatrixByPositiveDiagonal implements Serializable
  
  serialVersionUID:
  
  -1560105745102323833L
Package com.numericalmethod.suanshu.matrix.generic
Package com.numericalmethod.suanshu.matrix.generic.matrixtype
- Class com.numericalmethod.suanshu.matrix.generic.matrixtype.ComplexMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2592016214142885224L
  - Serialized Fields
    - A
```
GenericMatrix<F extends Field<F>> A
```
      the storage
- Class com.numericalmethod.suanshu.matrix.generic.matrixtype.GenericMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5546679190106811418L
  - Serialized Fields
    - nRows
```
int nRows
```
      the number of rows
    - nCols
```
int nCols
```
      the number of columns
    - data
```
Field<F>[][] data
```
      the matrix entries arranged in a 2D array
    - field
```
Field<F> field
```
      This is an element from the field F. This member is only for programming purpose to get information about the field.
- Class com.numericalmethod.suanshu.matrix.generic.matrixtype.RealMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5154913550155014618L
  - Serialized Fields
    - A
```
GenericMatrix<F extends Field<F>> A
```
      the storage
Package com.numericalmethod.suanshu.number
- Class com.numericalmethod.suanshu.number.Counter extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5647311746296886425L
  - Serialized Fields
    - scale
```
int scale
```
      a precision parameter for rounding a double: number of decimal points to keep
    - counts
```
java.util.Map<K,V> counts
```
- Class com.numericalmethod.suanshu.number.Real extends java.lang.Number implements Serializable
  
  serialVersionUID:
  
  -7975372464277584080L
  - Serialized Fields
    - value
```
java.math.BigDecimal value
```
- Class com.numericalmethod.suanshu.number.ScientificNotation extends java.lang.Number implements Serializable
  
  serialVersionUID:
  
  1276454920065257082L
  - Serialized Fields
    - significand
```
java.math.BigDecimal significand
```
      the significand or mantissa
    - exponent
```
int exponent
```
      the exponent
    - TEN
```
java.math.BigDecimal TEN
```
Package com.numericalmethod.suanshu.number.complex
- Class com.numericalmethod.suanshu.number.complex.Complex extends java.lang.Number implements Serializable
  
  serialVersionUID:
  
  1778648444936674860L
  - Serialized Fields
    - real
```
double real
```
      the real part of this complex number
    - imaginary
```
double imaginary
```
      the imaginary part of this complex number
Package com.numericalmethod.suanshu.number.doublearray
- Class com.numericalmethod.suanshu.number.doublearray.CompositeDoubleArrayOperation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6584938473769642460L
  - Serialized Fields
    - chooser
```
CompositeDoubleArrayOperation.ImplementationChooser chooser
```
- Class com.numericalmethod.suanshu.number.doublearray.ParallelDoubleArrayOperation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3001844520682789605L
- Class com.numericalmethod.suanshu.number.doublearray.SimpleDoubleArrayOperation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7779083761487983868L
Package com.numericalmethod.suanshu.optimization
Package com.numericalmethod.suanshu.optimization.constrained
Package com.numericalmethod.suanshu.optimization.constrained.constraint
Package com.numericalmethod.suanshu.optimization.constrained.constraint.general
- Class com.numericalmethod.suanshu.optimization.constrained.constraint.general.GeneralConstraints extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1979456052724019278L
  - Serialized Fields
    - constraints
```
java.util.ArrayList<E> constraints
```
      the constraints
    - dim
```
int dim
```
- Class com.numericalmethod.suanshu.optimization.constrained.constraint.general.GeneralEqualityConstraints extends GeneralConstraints implements Serializable
  
  serialVersionUID:
  
  5615644957087753904L
- Class com.numericalmethod.suanshu.optimization.constrained.constraint.general.GeneralGreaterThanConstraints extends GeneralConstraints implements Serializable
  
  serialVersionUID:
  
  3255795455524338469L
- Class com.numericalmethod.suanshu.optimization.constrained.constraint.general.GeneralLessThanConstraints extends GeneralConstraints implements Serializable
  
  serialVersionUID:
  
  685356021318174870L
Package com.numericalmethod.suanshu.optimization.constrained.constraint.linear
- Class com.numericalmethod.suanshu.optimization.constrained.constraint.linear.BoxConstraints extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7851438508996423551L
  - Serialized Fields
    - dim
```
int dim
```
    - bounds
```
java.util.ArrayList<E> bounds
```
- Class com.numericalmethod.suanshu.optimization.constrained.constraint.linear.BoxConstraints.Bound extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5694482497356029403L
  - Serialized Fields
    - index
```
int index
```
      the index to the variable, counting from 1
    - interval
```
RealInterval interval
```
- Class com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearConstraints extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8515436557291853122L
  - Serialized Fields
    - A
```
ImmutableMatrix A
```
    - b
```
ImmutableVector b
```
- Class com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearEqualityConstraints extends LinearConstraints implements Serializable
  
  serialVersionUID:
  
  8238401689803191067L
- Class com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearGreaterThanConstraints extends LinearConstraints implements Serializable
  
  serialVersionUID:
  
  1408350997909072089L
- Class com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LinearLessThanConstraints extends LinearConstraints implements Serializable
  
  serialVersionUID:
  
  2092149437068061625L
- Class com.numericalmethod.suanshu.optimization.constrained.constraint.linear.LowerBoundConstraints extends LinearGreaterThanConstraints implements Serializable
  
  serialVersionUID:
  
  -4253579616076431035L
- Class com.numericalmethod.suanshu.optimization.constrained.constraint.linear.NonNegativityConstraints extends LowerBoundConstraints implements Serializable
  
  serialVersionUID:
  
  1996801104477882222L
- Class com.numericalmethod.suanshu.optimization.constrained.constraint.linear.UpperBoundConstraints extends LinearLessThanConstraints implements Serializable
  
  serialVersionUID:
  
  -6431082077106712213L
Package com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.CentralPath extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  9205112008363271866L
  - Serialized Fields
    - X
```
ImmutableMatrix X
```
      This is the minimizer for the primal problem.
    - y
```
ImmutableVector y
```
      This is the maximizer for the dual problem.
    - S
```
ImmutableMatrix S
```
      This is the auxiliary helper to solve the dual problem.
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.HomogeneousPathFollowing extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3612567547354714868L
  - Serialized Fields
    - gamma0
```
double gamma0
```
    - sigma0
```
double sigma0
```
    - epsilon
```
double epsilon
```
    - Hp
```
Hp Hp
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.HomogeneousPathFollowing.Solution extends PrimalDualPathFollowing.Solution implements Serializable
  
  serialVersionUID:
  
  -8909647936039729197L
  - Serialized Fields
    - kappa
```
double kappa
```
    - V
```
Vector V
```
    - B
```
Matrix B
```
    - tau
```
double tau
```
    - ybar
```
Vector ybar
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.Hp extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6174963085759009156L
  - Serialized Fields
    - P
```
ImmutableMatrix P
```
    - Pinv
```
ImmutableMatrix Pinv
```
    - isIdentity
```
boolean isIdentity
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.PrimalDualPathFollowing extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3700943134396116628L
  - Serialized Fields
    - gamma0
```
double gamma0
```
    - sigma0
```
double sigma0
```
    - epsilon
```
double epsilon
```
    - Hp
```
Hp Hp
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.PrimalDualPathFollowing.Solution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8494703608562455186L
  - Serialized Fields
    - path
```
CentralPath path
```
    - sigma
```
double sigma
```
    - gamma
```
double gamma
```
    - delta
```
double delta
```
    - phi
```
double phi
```
    - iter
```
int iter
```
    - problem
```
SDPDualProblem problem
```
    - A
```
Matrix A
```
      This is either [A] or [ A] [-C]
    - n
```
int n
```
    - I
```
Matrix I
```
Package com.numericalmethod.suanshu.optimization.constrained.convex.sdp.problem
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.problem.SDPDualProblem extends ConstrainedOptimProblemImpl1 implements Serializable
  
  serialVersionUID:
  
  8096561235874889370L
  - Serialized Fields
    - b
```
ImmutableVector b
```
    - C
```
SymmetricMatrix C
```
    - A
```
SymmetricMatrix[] A
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.problem.SDPDualProblem.EqualityConstraints extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  714153493998819007L
  - Serialized Fields
    - C
```
ImmutableMatrix C
```
    - A
```
ImmutableMatrix[] A
```
    - p
```
int p
```
    - n
```
int n
```
Package com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.interiorpoint
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.interiorpoint.PrimalDualInteriorPoint extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8633964372836223656L
  - Serialized Fields
    - sigma
```
double sigma
```
    - epsilon
```
double epsilon
```
    - maxIterations
```
int maxIterations
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.interiorpoint.PrimalDualInteriorPoint.Solution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6549301153594108843L
  - Serialized Fields
    - soln
```
PrimalDualSolution soln
```
    - iter
```
int iter
```
    - problem
```
SOCPDualProblem problem
```
    - A
```
ImmutableMatrix A
```
    - At
```
ImmutableMatrix At
```
    - N
```
int N
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.interiorpoint.PrimalDualSolution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6333594303102484002L
  - Serialized Fields
    - x
```
ImmutableVector x
```
      This is the minimizer for the primal problem.
    - y
```
ImmutableVector y
```
      This is the maximizer for the dual problem.
    - s
```
ImmutableVector s
```
      This is the auxiliary helper to solve the dual problem.
Package com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.problem
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.problem.SOCPDualProblem extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  501154578690185178L
  - Serialized Fields
    - problem
```
ConstrainedOptimProblemImpl1 problem
```
    - b
```
ImmutableVector b
```
    - A
```
ImmutableMatrix[] A
```
    - c
```
ImmutableVector[] c
```
    - m
```
int m
```
    - q
```
int q
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.problem.SOCPDualProblem.EqualityConstraints extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8110862027398243300L
  - Serialized Fields
    - b
```
ImmutableVector b
```
    - A
```
ImmutableMatrix[] A
```
    - c
```
ImmutableVector[] c
```
    - m
```
int m
```
    - q
```
int q
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.problem.SOCPGeneralProblem extends SOCPDualProblem implements Serializable
  
  serialVersionUID:
  
  -3780274855432102059L
Package com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.QPException extends java.lang.Exception implements Serializable
  
  serialVersionUID:
  
  2555861408930937044L
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.QPInfeasible extends QPException implements Serializable
  
  serialVersionUID:
  
  -7483009022345547964L
Package com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.activeset
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.activeset.QPPrimalActiveSetSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7674162856438999683L
  - Serialized Fields
    - epsilon
```
double epsilon
```
    - maxIterations
```
int maxIterations
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.activeset.QPPrimalActiveSetSolver.Solution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  556038460563308914L
  - Serialized Fields
    - minimizer
```
QPSolution minimizer
```
    - x
```
Vector x
```
    - k
```
int k
```
    - Js
```
com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.activeset.WorkingActiveSet Js
```
    - problem
```
QPProblem problem
```
    - A
```
ImmutableMatrix A
```
    - b
```
ImmutableVector b
```
    - Aeq
```
ImmutableMatrix Aeq
```
    - H
```
Matrix H
```
    - p
```
Vector p
```
Package com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp
Package com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPDimensionNotMatched extends LPRuntimeException implements Serializable
  
  serialVersionUID:
  
  -4749867331059414494L
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPEmptyCostVector extends LPRuntimeException implements Serializable
  
  serialVersionUID:
  
  -151738965136679763L
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPException extends java.lang.Exception implements Serializable
  
  serialVersionUID:
  
  -1550172622145308250L
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPInfeasible extends LPException implements Serializable
  
  serialVersionUID:
  
  265585041207576124L
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPNoConstraint extends LPRuntimeException implements Serializable
  
  serialVersionUID:
  
  -5677217804614871995L
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPRuntimeException extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  4675335813659308231L
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.exception.LPUnbounded extends LPException implements Serializable
  
  serialVersionUID:
  
  -2395560403850261410L
  - Serialized Fields
    - s
```
int s
```
      This is the pricing column that does not have an eligible row that passes the ratio test, hence the problem is unbounded.
Package com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.CanonicalLPProblem1 extends LPProblemImpl1 implements Serializable
  
  serialVersionUID:
  
  -2723386294374413550L
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.CanonicalLPProblem2 extends LPProblemImpl1 implements Serializable
  
  serialVersionUID:
  
  5203256239835235223L
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.LPProblemImpl1 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7127929062778352099L
  - Serialized Fields
    - problem
```
ConstrainedOptimProblemImpl1 problem
```
    - c
```
ImmutableVector c
```
    - bounds
```
BoxConstraints bounds
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.problem.StandardLPProblem extends LPProblemImpl1 implements Serializable
  
  serialVersionUID:
  
  -4914694027353594614L
Package com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.FerrisMangasarianWrightPhase1 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  298209170382929414L
  - Serialized Fields
    - table0
```
SimplexTable table0
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.FerrisMangasarianWrightScheme2 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7690808150261034385L
  - Serialized Fields
    - table0
```
SimplexTable table0
```
    - epsilon
```
double epsilon
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.JordanExchange extends FlexibleTable implements Serializable
  
  serialVersionUID:
  
  2616007556364907168L
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.SimplexTable extends FlexibleTable implements Serializable
  
  serialVersionUID:
  
  -9217938335762779775L
  - Serialized Fields
    - epsilon
```
double epsilon
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.SimplexTable.Label extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6078006063753834868L
  - Serialized Fields
    - type
```
SimplexTable.LabelType type
```
      the label type
    - index
```
int index
```
      the index of a variable, an inequality, an equality, etc., counting from 1
Package com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.pivoting
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.NaiveRule extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2447106917078495251L
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SimplexPivoting.Pivot extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8812041702439875436L
  - Serialized Fields
    - r
```
int r
```
      the pivot row
    - s
```
int s
```
      the pivot column
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.pivoting.SmallestSubscriptRule extends NaiveRule implements Serializable
  
  serialVersionUID:
  
  4391663355398942831L
Package com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPBoundedMinimizer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5775241432491888743L
  - Serialized Fields
    - minimizers
```
java.util.Set<E> minimizers
```
    - table
```
SimplexTable table
```
    - epsilon
```
double epsilon
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPUnboundedMinimizer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2751557660971588476L
  - Serialized Fields
    - table
```
SimplexTable table
```
    - lambdaCol
```
int lambdaCol
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solution.LPUnboundedMinimizerScheme2 extends LPUnboundedMinimizer implements Serializable
  
  serialVersionUID:
  
  -1861063995773638930L
Package com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.FerrisMangasarianWrightPhase2 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6301622023942306088L
  - Serialized Fields
    - pivoting
```
SimplexPivoting pivoting
```
      the Jordan exchange between a basic and a non-basic variables
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPCanonicalSolver extends FerrisMangasarianWrightPhase2 implements Serializable
  
  serialVersionUID:
  
  -1829276846575633616L
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.lp.simplex.solver.LPTwoPhaseSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1161435694099760439L
  - Serialized Fields
    - solver
```
LPSimplexSolver<P extends LPProblem> solver
```
Package com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.problem
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.problem.QPProblem extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8230408641181208566L
  - Serialized Fields
    - problem
```
ConstrainedOptimProblemImpl1 problem
```
- Class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.qp.problem.QPProblemOnlyEqualityConstraints extends QuadraticFunction implements Serializable
  
  serialVersionUID:
  
  -3146178375804915270L
  - Serialized Fields
    - equal
```
LinearEqualityConstraints equal
```
    - Aplus
```
ImmutableMatrix Aplus
```
    - Vr
```
ImmutableMatrix Vr
```
Package com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod
- Class com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.AbsoluteError extends MultiplierPenalty implements Serializable
  
  serialVersionUID:
  
  5534556138850918347L
- Class com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.Courant extends MultiplierPenalty implements Serializable
  
  serialVersionUID:
  
  -4692743746934806398L
- Class com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.Fletcher extends MultiplierPenalty implements Serializable
  
  serialVersionUID:
  
  -6991820353086520717L
- Class com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.MultiplierPenalty extends PenaltyFunction implements Serializable
  
  serialVersionUID:
  
  -2320858766542292566L
  - Serialized Fields
    - weights
```
double[] weights
```
      the weights for the constraints
    - constraints
```
Constraints constraints
```
      the constraint/cost functions
- Class com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.PenaltyFunction extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3181581881056842113L
- Class com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.PenaltyMethodMinimizer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6082691366794429048L
  - Serialized Fields
    - gamma
```
double gamma
```
    - penaltyFunctionFactory
```
PenaltyMethodMinimizer.PenaltyFunctionFactory penaltyFunctionFactory
```
    - minimizer
```
MultivariateMinimizer<S extends MinimizationSolution<?>> minimizer
```
- Class com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.SumOfPenalties extends PenaltyFunction implements Serializable
  
  serialVersionUID:
  
  6706502763953922195L
  - Serialized Fields
    - penalties
```
PenaltyFunction[] penalties
```
      the constituent penalty functions
- Class com.numericalmethod.suanshu.optimization.constrained.general.penaltymethod.ZERO extends PenaltyFunction implements Serializable
  
  serialVersionUID:
  
  -179091707864219366L
  - Serialized Fields
    - dimension
```
int dimension
```
Package com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset
- Class com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPActiveSetSolver extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2695161836133646539L
  - Serialized Fields
    - epsilon
```
double epsilon
```
    - maxIterations
```
int maxIterations
```
    - variant
```
SQPActiveSetSolver.VariationFactory variant
```
- Class com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPActiveSetSolver.Solution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6666441302957784567L
  - Serialized Fields
    - x0
```
Vector x0
```
    - v0
```
Vector v0
```
    - u0
```
Vector u0
```
    - Ae0
```
Matrix Ae0
```
    - Ai0
```
Matrix Ai0
```
    - g0
```
Vector g0
```
    - Z0
```
Matrix Z0
```
    - d
```
Vector d
```
    - f
```
RealScalarFunction f
```
    - equal
```
EqualityConstraints equal
```
    - a
```
java.util.List<E> a
```
    - p
```
int p
```
    - greater
```
GreaterThanConstraints greater
```
    - c
```
java.util.List<E> c
```
    - q
```
int q
```
    - impl
```
SQPASVariation impl
```
- Class com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPActiveSetSolverForOnlyInequalityConstraint extends SQPActiveSetSolver implements Serializable
  
  serialVersionUID:
  
  -8421092924797629477L
- Class com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPActiveSetSolverForOnlyInequalityConstraint.Solution extends SQPActiveSetSolver.Solution implements Serializable
  
  serialVersionUID:
  
  -1619108174523524351L
- Class com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.SQPASVariation1 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  879251903925208643L
  - Serialized Fields
    - f
```
RealScalarFunction f
```
    - ae
```
java.util.List<E> ae
```
    - ag
```
java.util.List<E> ag
```
    - epsilon
```
double epsilon
```
Package com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint
- Class com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPActiveSetSolverForOnlyEqualityConstraint1 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2641222160237930L
  - Serialized Fields
    - variant
```
SQPActiveSetSolverForOnlyEqualityConstraint1.VariationFactory variant
```
    - epsilon
```
double epsilon
```
    - maxIterations
```
int maxIterations
```
- Class com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPActiveSetSolverForOnlyEqualityConstraint2 extends SQPActiveSetSolverForOnlyEqualityConstraint1 implements Serializable
  
  serialVersionUID:
  
  2477021019798050577L
- Class com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation1 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4548376186849357828L
  - Serialized Fields
    - f
```
RealScalarFunction f
```
    - a
```
java.util.List<E> a
```
    - p
```
int p
```
    - r
```
double r
```
    - lower
```
double lower
```
    - discretization
```
int discretization
```
    - foundPositiveDefiniteHessian
```
boolean foundPositiveDefiniteHessian
```
    - epsilon
```
double epsilon
```
- Class com.numericalmethod.suanshu.optimization.constrained.general.sqp.activeset.equalityconstraint.SQPASEVariation2 extends SQPASEVariation1 implements Serializable
  
  serialVersionUID:
  
  -8834263807542924993L
Package com.numericalmethod.suanshu.optimization.constrained.integer
- Class com.numericalmethod.suanshu.optimization.constrained.integer.IPProblemImpl1 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7626097091758616783L
  - Serialized Fields
    - problem
```
ConstrainedOptimProblemImpl1 problem
```
    - integers
```
int[] integers
```
    - epsilon
```
double epsilon
```
Package com.numericalmethod.suanshu.optimization.constrained.integer.bruteforce
- Class com.numericalmethod.suanshu.optimization.constrained.integer.bruteforce.BruteForceIPMinimizer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  619701244919947924L
  - Serialized Fields
    - factory
```
BruteForceIPMinimizer.ConstrainedMinimizerFactory<U extends ConstrainedMinimizer<ConstrainedOptimProblem,IterativeMinimizer<Vector>>> factory
```
- Class com.numericalmethod.suanshu.optimization.constrained.integer.bruteforce.BruteForceIPMinimizer.Solution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2022056920984666230L
  - Serialized Fields
    - problem
```
BruteForceIPProblem problem
```
    - minimizer
```
ImmutableVector minimizer
```
    - fmin
```
double fmin
```
- Class com.numericalmethod.suanshu.optimization.constrained.integer.bruteforce.BruteForceIPProblem extends IPProblemImpl1 implements Serializable
  
  serialVersionUID:
  
  -904212391749255017L
  - Serialized Fields
    - integers
```
BruteForceIPProblem.IntegerDomain[] integers
```
- Class com.numericalmethod.suanshu.optimization.constrained.integer.bruteforce.BruteForceIPProblem.IntegerDomain extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4270283335365208295L
  - Serialized Fields
    - index
```
int index
```
      the index of an integral variable
    - domain
```
int[] domain
```
      the integer values the variable can take
Package com.numericalmethod.suanshu.optimization.constrained.integer.linear.bb
- Class com.numericalmethod.suanshu.optimization.constrained.integer.linear.bb.ILPBranchAndBound extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8912053914072477526L
  - Serialized Fields
    - factory
```
ILPBranchAndBound.ActiveListFactory factory
```
- Class com.numericalmethod.suanshu.optimization.constrained.integer.linear.bb.ILPNode extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -382727116757917334L
  - Serialized Fields
    - id
```
int id
```
    - problem
```
ILPProblem problem
```
    - minimizer
```
LPBoundedMinimizer minimizer
```
Package com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane
- Class com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.GomoryMixedCut extends SimplexCuttingPlane implements Serializable
  
  serialVersionUID:
  
  4333209428339609861L
- Class com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.GomoryMixedCut.MyCutter extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2002068332189849890L
  - Serialized Fields
    - problem
```
ILPProblem problem
```
    - indices
```
int[] indices
```
- Class com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.GomoryPureCut extends SimplexCuttingPlane implements Serializable
  
  serialVersionUID:
  
  -7936504570810950019L
- Class com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.GomoryPureCut.MyCutter extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6196351264551436545L
  - Serialized Fields
    - problem
```
PureILPProblem problem
```
- Class com.numericalmethod.suanshu.optimization.constrained.integer.linear.cuttingplane.SimplexCuttingPlane extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2294909652710804840L
  - Serialized Fields
    - solver
```
LPSimplexSolver<P extends LPProblem> solver
```
    - cutterFactory
```
SimplexCuttingPlane.CutterFactory cutterFactory
```
Package com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem
- Class com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem.ILPProblemImpl1 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3318484166703421277L
  - Serialized Fields
    - lpProblem
```
LPProblemImpl1 lpProblem
```
    - ipProblem
```
IPProblemImpl1 ipProblem
```
- Class com.numericalmethod.suanshu.optimization.constrained.integer.linear.problem.PureILPProblem extends ILPProblemImpl1 implements Serializable
  
  serialVersionUID:
  
  -584846766452715381L
Package com.numericalmethod.suanshu.optimization.constrained.problem
- Class com.numericalmethod.suanshu.optimization.constrained.problem.ConstrainedOptimProblemImpl1 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3496445255975620682L
  - Serialized Fields
    - problem
```
C2OptimProblemImpl problem
```
    - equal
```
EqualityConstraints equal
```
      the equality constraints
    - less
```
LessThanConstraints less
```
      the less-than-or-equal-to constraints
- Class com.numericalmethod.suanshu.optimization.constrained.problem.NonNegativityConstraintOptimProblem extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2690477515758703444L
  - Serialized Fields
    - problem
```
ConstrainedOptimProblemImpl1 problem
```
Package com.numericalmethod.suanshu.optimization.geneticalgorithm
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.GeneticAlgorithm extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2933092757409794476L
  - Serialized Fields
    - parallel
```
boolean parallel
```
      This indicate if the algorithm is to run in parallel (multi-core).
    - uniform
```
RandomLongGenerator uniform
```
      This is a uniform random number generator.
    - population
```
java.util.ArrayList<E> population
```
      This is the (current) population pool.
      An implementation must guarantee that this is sorted in descending order.
Package com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.Best1Bin extends Rand1Bin implements Serializable
  
  serialVersionUID:
  
  2533711966179707971L
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.Best2Bin extends Best1Bin implements Serializable
  
  serialVersionUID:
  
  8824002479468567436L
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.Best2Bin.DeBest2BinCell extends Rand1Bin.DeRand1BinCell implements Serializable
  
  serialVersionUID:
  
  -6601479881882519768L
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.DEOptim extends SimpleGridMinimizer implements Serializable
  
  serialVersionUID:
  
  -3191125659853512233L
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.DEOptim.Solution extends SimpleGridMinimizer.Solution implements Serializable
  
  serialVersionUID:
  
  618244939276968608L
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.DEOptimCellFactory extends SimpleCellFactory implements Serializable
  
  serialVersionUID:
  
  4683432185740876507L
  - Serialized Fields
    - Cr
```
double Cr
```
      the crossover probability
    - F
```
double F
```
      the scaling factor
    - population
```
java.util.List<E> population
```
      an unmodifiable view of the parents population
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.DEOptimCellFactory.DeOptimCell extends SimpleCellFactory.SimpleCell implements Serializable
  
  serialVersionUID:
  
  -2619376165334109851L
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.Rand1Bin extends DEOptimCellFactory implements Serializable
  
  serialVersionUID:
  
  9119637516518055621L
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.Rand1Bin.DeRand1BinCell extends DEOptimCellFactory.DeOptimCell implements Serializable
  
  serialVersionUID:
  
  198786935478738496L
Package com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.ConstrainedCellFactory extends DEOptimCellFactory implements Serializable
  
  serialVersionUID:
  
  5868455949418161289L
  - Serialized Fields
    - unconstrainedFactory
```
DEOptimCellFactory unconstrainedFactory
```
      a factory that defines the unconstrained Differential Evolution operators
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.ConstrainedCellFactory.ConstrainedCell extends DEOptimCellFactory.DeOptimCell implements Serializable
  
  serialVersionUID:
  
  -1064786007612026952L
  - Serialized Fields
    - cell
```
SimpleCellFactory.SimpleCell cell
```
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory extends ConstrainedCellFactory implements Serializable
  
  serialVersionUID:
  
  5705996675541494853L
  - Serialized Fields
    - constraint
```
IntegralConstrainedCellFactory.IntegerConstraint constraint
```
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.AllIntegers extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7291759257631869274L
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.deoptim.constrained.IntegralConstrainedCellFactory.SomeIntegers extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  890081680747492279L
  - Serialized Fields
    - indices
```
java.util.Set<E> indices
```
Package com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.local
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.local.GlobalSearchByLocalMinimizer extends SimpleGridMinimizer implements Serializable
  
  serialVersionUID:
  
  8201289353373751155L
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.local.LocalSearchCellFactory extends SimpleCellFactory implements Serializable
  
  serialVersionUID:
  
  3197056836688101070L
  - Serialized Fields
    - factory
```
LocalSearchCellFactory.MinimizerFactory<U extends Minimizer<OptimProblem,IterativeMinimizer<Vector>>> factory
```
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.local.LocalSearchCellFactory.LocalSearchCell extends SimpleCellFactory.SimpleCell implements Serializable
  
  serialVersionUID:
  
  -1140724019607114863L
Package com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.RealScalarFunctionChromosome extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -784320289844499515L
  - Serialized Fields
    - fx
```
java.lang.Double fx
```
    - f
```
RealScalarFunction f
```
    - x
```
ImmutableVector x
```
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.SimpleCellFactory extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4281707850074755306L
  - Serialized Fields
    - uniform
```
RandomLongGenerator uniform
```
      the uniform random number generator
    - rate
```
double rate
```
      the convergence rate
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.SimpleCellFactory.SimpleCell extends RealScalarFunctionChromosome implements Serializable
  
  serialVersionUID:
  
  -4320827779829586912L
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.SimpleGridMinimizer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1566165167306838383L
  - Serialized Fields
    - parallel
```
boolean parallel
```
    - uniform
```
RandomLongGenerator uniform
```
    - factoryCtor
```
SimpleGridMinimizer.NewCellFactoryCtor factoryCtor
```
    - epsilon
```
double epsilon
```
    - maxIterations
```
int maxIterations
```
    - nStableIterations
```
int nStableIterations
```
- Class com.numericalmethod.suanshu.optimization.geneticalgorithm.minimizer.simplegrid.SimpleGridMinimizer.Solution extends GeneticAlgorithm implements Serializable
  
  serialVersionUID:
  
  2491362060259471584L
  - Serialized Fields
    - initials
```
Vector[] initials
```
    - iteration
```
int iteration
```
    - nNoChanges
```
int nNoChanges
```
    - fminLast
```
double fminLast
```
    - fmin
```
double fmin
```
    - xmin
```
Vector xmin
```
    - f
```
RealScalarFunction f
```
    - factory
```
SimpleCellFactory factory
```
Package com.numericalmethod.suanshu.optimization.initialization
- Class com.numericalmethod.suanshu.optimization.initialization.DefaultSimplex extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8552469112552211214L
  - Serialized Fields
    - scale
```
double scale
```
- Class com.numericalmethod.suanshu.optimization.initialization.UniformDistributionOverBox1 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5094578945569407381L
  - Serialized Fields
    - N
```
int N
```
    - rng
```
UniformDistributionOverBox rng
```
- Class com.numericalmethod.suanshu.optimization.initialization.UniformDistributionOverBox2 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  9140120389198421395L
  - Serialized Fields
    - scale
```
double scale
```
    - rng
```
RandomLongGenerator rng
```
    - grid
```
java.lang.Double[][] grid
```
    - N
```
int N
```
Package com.numericalmethod.suanshu.optimization.minmax
- Class com.numericalmethod.suanshu.optimization.minmax.LeastPth extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1806597054062724238L
  - Serialized Fields
    - epsilon
```
double epsilon
```
    - maxIterations
```
int maxIterations
```
Package com.numericalmethod.suanshu.optimization.problem
- Class com.numericalmethod.suanshu.optimization.problem.C2OptimProblemImpl extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7893914411029108510L
  - Serialized Fields
    - f
```
RealScalarFunction f
```
      the objective function to be minimized
    - g
```
RealVectorFunction g
```
      the gradient function
    - H
```
RntoMatrix H
```
      the Hessian function
Package com.numericalmethod.suanshu.optimization.unconstrained
- Class com.numericalmethod.suanshu.optimization.unconstrained.MultivariateMaximizer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5963257636782227713L
  - Serialized Fields
    - minimizer
```
MultivariateMinimizer<S extends MinimizationSolution<?>> minimizer
```
      the minimizer to do maximization
- Class com.numericalmethod.suanshu.optimization.unconstrained.NelderMead extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5189921638271260561L
  - Serialized Fields
    - alpha
```
double alpha
```
    - gamma
```
double gamma
```
    - rho
```
double rho
```
    - sigma
```
double sigma
```
    - epsilon
```
double epsilon
```
    - maxIterations
```
int maxIterations
```
- Class com.numericalmethod.suanshu.optimization.unconstrained.NelderMead.Solution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2215100762170165718L
  - Serialized Fields
    - x
```
Vector[] x
```
    - fx
```
double[] fx
```
    - f
```
RealScalarFunction f
```
    - N
```
int N
```
    - N1
```
int N1
```
Package com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection
- Class com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.ConjugateGradient extends SteepestDescent implements Serializable
  
  serialVersionUID:
  
  -3163905851405456007L
- Class com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.FletcherReeves extends ConjugateGradient implements Serializable
  
  serialVersionUID:
  
  -3984815673850221905L
- Class com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.Powell extends SteepestDescent implements Serializable
  
  serialVersionUID:
  
  -7906700544869442866L
- Class com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.Powell.PowellImpl extends SteepestDescent.SteepestDescentImpl implements Serializable
  
  serialVersionUID:
  
  4855943085615223937L
  - Serialized Fields
    - dk
```
Vector dk
```
    - d0
```
Vector[] d0
```
    - n
```
int n
```
- Class com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.Zangwill extends SteepestDescent implements Serializable
  
  serialVersionUID:
  
  8600045045739776771L
  - Serialized Fields
    - epsilon2
```
double epsilon2
```
- Class com.numericalmethod.suanshu.optimization.unconstrained.conjugatedirection.Zangwill.ZangwillImpl extends SteepestDescent.SteepestDescentImpl implements Serializable
  
  serialVersionUID:
  
  2825019160079872953L
  - Serialized Fields
    - dk
```
Vector dk
```
    - d0
```
Vector[] d0
```
    - m
```
int m
```
    - akm
```
double akm
```
    - lambda
```
double lambda
```
    - deltak
```
double deltak
```
    - n
```
int n
```
Package com.numericalmethod.suanshu.optimization.unconstrained.linesearch
- Class com.numericalmethod.suanshu.optimization.unconstrained.linesearch.Fletcher extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8032541119151748574L
  - Serialized Fields
    - rho
```
double rho
```
    - sigma
```
double sigma
```
    - tau
```
double tau
```
    - chi
```
double chi
```
    - epsilon
```
double epsilon
```
    - maxIterations
```
int maxIterations
```
Package com.numericalmethod.suanshu.optimization.unconstrained.quasinewton
- Class com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.BFGS extends QuasiNewton implements Serializable
  
  serialVersionUID:
  
  -5221472154264333905L
  - Serialized Fields
    - isFletcherSwitch
```
boolean isFletcherSwitch
```
      true if Fletcher's modification to switch between BFGS and DFP is applied
- Class com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.BFGS.BFGSImpl extends QuasiNewton.QuasiNewtonImpl implements Serializable
  
  serialVersionUID:
  
  7147229684217463262L
- Class com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.DFP extends Huang implements Serializable
  
  serialVersionUID:
  
  -6781876890656657410L
- Class com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.Huang extends QuasiNewton implements Serializable
  
  serialVersionUID:
  
  -7320627114790305479L
  - Serialized Fields
    - theta
```
double theta
```
    - phi
```
double phi
```
    - psi
```
double psi
```
    - omega
```
double omega
```
- Class com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.Huang.HuangImpl extends QuasiNewton.QuasiNewtonImpl implements Serializable
  
  serialVersionUID:
  
  3365549720210730713L
- Class com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.McCormick extends Huang implements Serializable
  
  serialVersionUID:
  
  -8460357133437786246L
- Class com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.Pearson extends Huang implements Serializable
  
  serialVersionUID:
  
  6683076705169818883L
- Class com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.QuasiNewton extends SteepestDescent implements Serializable
  
  serialVersionUID:
  
  8032865898149683518L
- Class com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.QuasiNewton.QuasiNewtonImpl extends SteepestDescent.SteepestDescentImpl implements Serializable
  
  serialVersionUID:
  
  712735453685268644L
  - Serialized Fields
    - Sk
```
Matrix Sk
```
      This is the approximate inverse of the Hessian matrix. An implementation of QuasiNewton.QuasiNewtonImpl.updateSk(com.numericalmethod.suanshu.vector.doubles.Vector) modifies this incrementally.
    - gk
```
Vector gk
```
      the gradient at the k-th iteration
    - dk
```
Vector dk
```
      the line search direction at the k-th iteration
    - ak
```
double ak
```
      the increment in the search direction
    - dgNorm
```
double dgNorm
```
- Class com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.RankOne extends Huang implements Serializable
  
  serialVersionUID:
  
  -8358520927040751787L
Package com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent
- Class com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.FirstOrder extends SteepestDescent implements Serializable
  
  serialVersionUID:
  
  7186608939519146662L
  - Serialized Fields
    - method
```
FirstOrder.Method method
```
- Class com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.GaussNewton.MySteepestDescent extends SteepestDescent implements Serializable
  
  serialVersionUID:
  
  8499249657496242207L
- Class com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.GaussNewton.MySteepestDescent.GaussNewtonImpl extends SteepestDescent.SteepestDescentImpl implements Serializable
  
  serialVersionUID:
  
  3049109705663763775L
  - Serialized Fields
    - J
```
RntoMatrix J
```
- Class com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.NewtonRaphson extends SteepestDescent implements Serializable
  
  serialVersionUID:
  
  4711028640287876740L
- Class com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.NewtonRaphson.NewtonRaphsonImpl extends SteepestDescent.SteepestDescentImpl implements Serializable
  
  serialVersionUID:
  
  -163301620837727687L
- Class com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.SteepestDescent extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4238975995902187376L
  - Serialized Fields
    - epsilon
```
double epsilon
```
      a precision parameter: when a number |x| ≤ ε, it is considered 0
    - maxIterations
```
double maxIterations
```
      the maximum number of iterations
    - linesearch0
```
LineSearch linesearch0
```
- Class com.numericalmethod.suanshu.optimization.unconstrained.steepestdescent.SteepestDescent.SteepestDescentImpl extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3160426147971880802L
  - Serialized Fields
    - xmin
```
Vector xmin
```
    - dx
```
Vector dx
```
    - problem
```
C2OptimProblem problem
```
    - linesearch
```
LineSearch.Solution linesearch
```
Package com.numericalmethod.suanshu.optimization.univariate
- Class com.numericalmethod.suanshu.optimization.univariate.GridSearch extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2705918133986321098L
  - Serialized Fields
    - epsilon
```
double epsilon
```
      a precision parameter: when a number |x| ≤ ε, it is considered 0
    - maxIterations
```
int maxIterations
```
      the maximum number of iterations
- Class com.numericalmethod.suanshu.optimization.univariate.GridSearch.Solution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2927590383035768025L
  - Serialized Fields
    - f
```
UnivariateRealFunction f
```
    - fmin
```
double fmin
```
    - xmin
```
double xmin
```
Package com.numericalmethod.suanshu.optimization.univariate.bracketsearch
- Class com.numericalmethod.suanshu.optimization.univariate.bracketsearch.BracketSearch extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7136472024407042694L
  - Serialized Fields
    - epsilon
```
double epsilon
```
      the convergence tolerance
    - maxIterations
```
int maxIterations
```
      the maximum number of iterations
- Class com.numericalmethod.suanshu.optimization.univariate.bracketsearch.BracketSearch.Solution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8723782785355959024L
  - Serialized Fields
    - f
```
UnivariateRealFunction f
```
    - fmin
```
double fmin
```
      the best minimum found so far
    - fnext
```
double fnext
```
      the next guess of the minimum
    - xl
```
double xl
```
      the lower bound of the bracketing interval
    - xu
```
double xu
```
      the upper bound of the bracketing interval
    - xmin
```
double xmin
```
      the best minimizer found so far
    - xnext
```
double xnext
```
      the next best guess of the minimizer
    - iter
```
int iter
```
      the current iteration count
- Class com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Brent extends BracketSearch implements Serializable
  
  serialVersionUID:
  
  -8064832965139716126L
  - Serialized Fields
    - golden
```
double golden
```
- Class com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Brent.Solution extends BracketSearch.Solution implements Serializable
  
  serialVersionUID:
  
  -5363474813715515660L
  - Serialized Fields
    - w
```
double w
```
      the abscissae for the 2nd least value
    - v
```
double v
```
      the abscissae for the 3rd least value; most of the time it is the old value of w
    - fw
```
double fw
```
      f(w)
    - fv
```
double fv
```
      f(v)
    - incLast
```
double incLast
```
      the increment between two successive guesses
- Class com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Fibonacci extends BracketSearch implements Serializable
  
  serialVersionUID:
  
  -6311433203216932710L
- Class com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Fibonacci.Solution extends BracketSearch.Solution implements Serializable
  
  serialVersionUID:
  
  -6495833675143198756L
  - Serialized Fields
    - fibonacci
```
double[] fibonacci
```
    - Ik
```
double Ik
```
    - xlLast
```
double xlLast
```
    - xuLast
```
double xuLast
```
- Class com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Golden extends BracketSearch implements Serializable
  
  serialVersionUID:
  
  7130409704176485098L
  - Serialized Fields
    - golden
```
double golden
```
- Class com.numericalmethod.suanshu.optimization.univariate.bracketsearch.Golden.Solution extends BracketSearch.Solution implements Serializable
  
  serialVersionUID:
  
  5528751096680223890L
Package com.numericalmethod.suanshu.parallel
- Class com.numericalmethod.suanshu.parallel.MultipleExecutionException extends java.lang.Exception implements Serializable
  
  serialVersionUID:
  
  -2322008058281010999L
  - Serialized Fields
    - results
```
java.util.List<E> results
```
    - exceptions
```
java.util.List<E> exceptions
```
Package com.numericalmethod.suanshu.stats.cointegration
- Class com.numericalmethod.suanshu.stats.cointegration.CointegrationMLE extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -9112358116595198267L
  - Serialized Fields
    - alpha
```
ImmutableMatrix alpha
```
      This is the loading matrix (read by columns). Speed of adjustment.
    - beta
```
DenseMatrix beta
```
      These (columns) are the cointegration relations.
    - eigenvalues
```
ImmutableVector eigenvalues
```
    - n
```
int n
```
      the number of rows of the multivariate time series used in regression
- Class com.numericalmethod.suanshu.stats.cointegration.JohansenAsymptoticDistribution extends EmpiricalDistribution implements Serializable
  
  serialVersionUID:
  
  6956779255692751997L
- Class com.numericalmethod.suanshu.stats.cointegration.JohansenTest extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -722952681629877229L
  - Serialized Fields
    - dist
```
JohansenAsymptoticDistribution[] dist
```
    - test
```
JohansenAsymptoticDistribution.Test test
```
    - trend
```
JohansenAsymptoticDistribution.TrendType trend
```
    - dim
```
int dim
```
    - nSim
```
int nSim
```
    - nT
```
int nT
```
Package com.numericalmethod.suanshu.stats.descriptive
- Class com.numericalmethod.suanshu.stats.descriptive.CorrelationMatrix extends DenseMatrix implements Serializable
  
  serialVersionUID:
  
  5440136498491043893L
- Class com.numericalmethod.suanshu.stats.descriptive.Covariance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6084782176984650071L
  - Serialized Fields
    - N
```
long N
```
    - mean1
```
Mean mean1
```
    - var1
```
Variance var1
```
    - mean2
```
Mean mean2
```
    - var2
```
Variance var2
```
    - sum
```
double sum
```
- Class com.numericalmethod.suanshu.stats.descriptive.CovarianceMatrix extends DenseMatrix implements Serializable
  
  serialVersionUID:
  
  -8535256668202167465L
- Class com.numericalmethod.suanshu.stats.descriptive.SynchronizedStatistic extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5492763845778314051L
  - Serialized Fields
    - stat
```
Statistic stat
```
      the Statistic to be made thread-safe
Package com.numericalmethod.suanshu.stats.descriptive.moment
- Class com.numericalmethod.suanshu.stats.descriptive.moment.Kurtosis extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4964464856258557194L
  - Serialized Fields
    - moment
```
Moments moment
```
- Class com.numericalmethod.suanshu.stats.descriptive.moment.Mean extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  170853815743939086L
  - Serialized Fields
    - N
```
long N
```
    - mean
```
double mean
```
- Class com.numericalmethod.suanshu.stats.descriptive.moment.Moments extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6346728951326593343L
  - Serialized Fields
    - order
```
int order
```
      the highest moment to compute
    - N
```
long N
```
    - m
```
double[] m
```
- Class com.numericalmethod.suanshu.stats.descriptive.moment.Skewness extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7362829418789517972L
  - Serialized Fields
    - N
```
long N
```
    - moment
```
Moments moment
```
    - m3
```
double m3
```
- Class com.numericalmethod.suanshu.stats.descriptive.moment.Variance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3922655110896062476L
  - Serialized Fields
    - unbiased
```
boolean unbiased
```
      indicate whether the variance calculation is unbiased or not; true if unbiased
    - N
```
long N
```
    - m2
```
double m2
```
    - mean
```
Mean mean
```
Package com.numericalmethod.suanshu.stats.descriptive.rank
- Class com.numericalmethod.suanshu.stats.descriptive.rank.Max extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -509687682477188005L
  - Serialized Fields
    - N
```
long N
```
    - max
```
double max
```
- Class com.numericalmethod.suanshu.stats.descriptive.rank.Min extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3022052545219102805L
  - Serialized Fields
    - N
```
long N
```
    - min
```
double min
```
- Class com.numericalmethod.suanshu.stats.descriptive.rank.Quantile extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2264990255487666180L
  - Serialized Fields
    - type
```
Quantile.QuantileType type
```
      the quantile definition
    - sortedData
```
double[] sortedData
```
- Class com.numericalmethod.suanshu.stats.descriptive.rank.Rank extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7699091685346361365L
  - Serialized Fields
    - t
```
double t
```
      t = Σ(t_i³ - t_i)
    - s
```
double s
```
      s = Σ(t_i² - t_i)
    - rank
```
double[] rank
```
      the result
Package com.numericalmethod.suanshu.stats.distribution
Package com.numericalmethod.suanshu.stats.distribution.univariate
- Class com.numericalmethod.suanshu.stats.distribution.univariate.BetaDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1458967462476012048L
  - Serialized Fields
    - alpha
```
double alpha
```
      α: the shape parameter
    - beta
```
double beta
```
      β: the shape parameter
    - Ix
```
BetaRegularized Ix
```
    - IxInv
```
BetaRegularizedInverse IxInv
```
- Class com.numericalmethod.suanshu.stats.distribution.univariate.BinomialDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5928072002952222586L
  - Serialized Fields
    - n
```
int n
```
      the number of trials, a natural number
    - p
```
double p
```
      the success probability in each trial, [0, 1]
    - z
```
double z
```
- Class com.numericalmethod.suanshu.stats.distribution.univariate.ChiSquareDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3073195398054661427L
  - Serialized Fields
    - k
```
double k
```
      the degree of freedom
- Class com.numericalmethod.suanshu.stats.distribution.univariate.EmpiricalDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7003650944091463965L
  - Serialized Fields
    - sortedData
```
double[] sortedData
```
      a sorted copy of the inputs
    - quantile
```
Quantile quantile
```
- Class com.numericalmethod.suanshu.stats.distribution.univariate.ExponentialDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1420172101850802503L
  - Serialized Fields
    - lambda
```
double lambda
```
      the rate parameter
- Class com.numericalmethod.suanshu.stats.distribution.univariate.FDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6030532009352587892L
  - Serialized Fields
    - df1
```
double df1
```
      the first degree of freedom
    - df2
```
double df2
```
      the second degree of freedom
    - Ix
```
BetaRegularized Ix
```
    - IxInv
```
BetaRegularizedInverse IxInv
```
- Class com.numericalmethod.suanshu.stats.distribution.univariate.GammaDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4510602878245665974L
  - Serialized Fields
    - k
```
double k
```
      the shape parameter
    - theta
```
double theta
```
      the scale parameter
- Class com.numericalmethod.suanshu.stats.distribution.univariate.LogNormalDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8247861273715585127L
  - Serialized Fields
    - logMu
```
double logMu
```
      the log-mean μ ∈ R
    - logSigma
```
double logSigma
```
      the log-standard deviation; shape
    - normal
```
NormalDistribution normal
```
- Class com.numericalmethod.suanshu.stats.distribution.univariate.NormalDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3392807789161467264L
  - Serialized Fields
    - mu
```
double mu
```
      the mean
    - sigma
```
double sigma
```
      the standard deviation
- Class com.numericalmethod.suanshu.stats.distribution.univariate.PoissonDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7954644344929938020L
  - Serialized Fields
    - lambda
```
double lambda
```
      α: a positive real number, equal to the expected number of occurrences during the given interval
- Class com.numericalmethod.suanshu.stats.distribution.univariate.RayleighDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1722973316753196782L
  - Serialized Fields
    - sigma
```
double sigma
```
      the standard deviation
- Class com.numericalmethod.suanshu.stats.distribution.univariate.TDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8526777321641400611L
  - Serialized Fields
    - v
```
double v
```
      the degree of freedom
    - Ix
```
BetaRegularized Ix
```
    - IxInv
```
BetaRegularizedInverse IxInv
```
- Class com.numericalmethod.suanshu.stats.distribution.univariate.WeibullDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1256647054924394814L
  - Serialized Fields
    - lambda
```
double lambda
```
      the scale parameter
    - k
```
double k
```
      the shape parameter
Package com.numericalmethod.suanshu.stats.dlm.multivariate
- Class com.numericalmethod.suanshu.stats.dlm.multivariate.DLM extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4553228831234791824L
  - Serialized Fields
    - d
```
int d
```
      the dimension of observation y_t
    - p
```
int p
```
      the dimension of state x_t
    - m0
```
ImmutableVector m0
```
      the mean of x₀, a vector of length the same as the number of states
    - C0
```
ImmutableMatrix C0
```
      the covariance matrix of x₀, a matrix of dimension (number of states * number of states)
    - Yt
```
ObservationEquation Yt
```
      the observation equation
    - Xt
```
StateEquation Xt
```
      the state equation
- Class com.numericalmethod.suanshu.stats.dlm.multivariate.DLMSeries extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6588941229279437034L
  - Serialized Fields
    - state
```
Vector[] state
```
      the simulated states
    - observation
```
Vector[] observation
```
      the simulated observations
- Class com.numericalmethod.suanshu.stats.dlm.multivariate.DLMSeries.Entry extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  682395215011003613L
  - Serialized Fields
    - time
```
int time
```
    - value
```
DLMSim.Innovation value
```
- Class com.numericalmethod.suanshu.stats.dlm.multivariate.DLMSim extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8678153709639718998L
  - Serialized Fields
    - t
```
int t
```
    - x_lag
```
Vector x_lag
```
    - model
```
DLM model
```
    - rmvnorm
```
NormalRvg rmvnorm
```
- Class com.numericalmethod.suanshu.stats.dlm.multivariate.DLMSim.Innovation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1969792460659749614L
  - Serialized Fields
    - state
```
ImmutableVector state
```
      the simulated state
    - observation
```
ImmutableVector observation
```
      the simulated observation
- Class com.numericalmethod.suanshu.stats.dlm.multivariate.LinearKalmanFilter extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3351032785411380385L
  - Serialized Fields
    - model
```
DLM model
```
      the DLM model
    - E_xt_tlag
```
DenseMatrix E_xt_tlag
```
      the state predictions
      x_{t|t-1} = E(x_t|y_{1:t-1})
    - V_xt_tlag
```
Matrix[] V_xt_tlag
```
      the variances of state predictions
      R_{t|t-1} = Var(x_t|y_{1:t-1})
    - E_yt_tlag
```
DenseMatrix E_yt_tlag
```
      the observation predictions
      f_t = E(y_t|y_{1:t-1})
    - V_yt_tlag
```
Matrix[] V_yt_tlag
```
      the variances of observation predictions
      Q_t = Var(y_t|y_{1:t-1})
    - KalmanGain
```
Matrix[] KalmanGain
```
      the optimal Kalman gain matrices
    - E_xt_t
```
DenseMatrix E_xt_t
```
      the state updates
      x_{t|t} = E(x_t|y_{1:t})
    - V_xt_t
```
Matrix[] V_xt_t
```
      the variances of state updates
      R_{t|t} = Var(x_t|y_{1:t})
- Class com.numericalmethod.suanshu.stats.dlm.multivariate.ObservationEquation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2306654433597856064L
  - Serialized Fields
    - F
```
R1toMatrix F
```
      For a time-invariant DLM (or time-invariant controlled DLM), this represents a (d * p) constant coefficient matrix of x_t in the observation equation.
      For a time varying DLM (or time varying controlled DLM), this outputs a time dependent (d * p) coefficient matrix of x_t in the observation equation.
    - V
```
R1toMatrix V
```
      For a time-invariant DLM (or time-invariant controlled DLM), this represents a (d * d) constant covariance matrix of v_t in the observation equation.
      For a time varying DLM (or time varying controlled DLM), this outputs a time dependent (d * d) covariance matrix of v_t in the observation equation.
    - d
```
int d
```
      the dimension of each observation y_t
    - rmvnorm
```
NormalRvg rmvnorm
```
- Class com.numericalmethod.suanshu.stats.dlm.multivariate.StateEquation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1044974564383399643L
  - Serialized Fields
    - G
```
R1toMatrix G
```
      For a time-invariant DLM (or time-invariant controlled DLM), this represents a (p * p) constant coefficient matrix of x_{t_1} in the state equation.
      For a time varying DLM (or time varying controlled DLM), this outputs the (p * p) coefficient matrix of x_{t_1} in the state equation.
    - H
```
R1toMatrix H
```
      For a time-invariant controlled DLM, this represents a (p * m) constant coefficient matrix of u_t (an m-dimensional vector of control variables).
      For a time varying controlled DLM, this outputs the initial (p * m) coefficient matrix of u_t (an m-dimensional vector of control variables).
    - W
```
R1toMatrix W
```
      For a time-invariant DLM (or time-invariant controlled DLM), this represents a (p * p) constant covariance matrix of {w_t} in the state equation.
      For a time varying DLM (or time varying controlled DLM), this outputs the initial (p * p) covariance matrix of {w_t} in the state equation.
    - p
```
int p
```
      the dimension of state x_t
    - rmvnorm
```
NormalRvg rmvnorm
```
Package com.numericalmethod.suanshu.stats.dlm.univariate
- Class com.numericalmethod.suanshu.stats.dlm.univariate.DLM extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6214875719319182463L
  - Serialized Fields
    - m0
```
double m0
```
      the mean of x_0
    - C0
```
double C0
```
      the variance of x_0
    - Yt
```
ObservationEquation Yt
```
      the observation equation
    - Xt
```
StateEquation Xt
```
      the state equation
- Class com.numericalmethod.suanshu.stats.dlm.univariate.DLMSeries extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5012019449372334982L
  - Serialized Fields
    - state
```
double[] state
```
      the simulated states
    - observation
```
double[] observation
```
      the simulated observations
- Class com.numericalmethod.suanshu.stats.dlm.univariate.DLMSeries.Entry extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8845715448424822110L
  - Serialized Fields
    - time
```
int time
```
    - value
```
DLMSim.Innovation value
```
- Class com.numericalmethod.suanshu.stats.dlm.univariate.DLMSim.Innovation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4429217325817683828L
  - Serialized Fields
    - state
```
double state
```
      the simulated state
    - observation
```
double observation
```
      the simulated observation
- Class com.numericalmethod.suanshu.stats.dlm.univariate.LinearKalmanFilter extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3533204469611902654L
  - Serialized Fields
    - model
```
DLM model
```
      the DLM model
    - E_xt_tlag
```
double[] E_xt_tlag
```
      the state predictions
      x_{t|t-1} = E(x_t|y_{1:t-1})
    - V_xt_tlag
```
double[] V_xt_tlag
```
      the variances of state predictions
      R_{t|t-1} = Var(x_t|y_{1:t-1})
    - E_yt_tlag
```
double[] E_yt_tlag
```
      the observation predictions
      f_t = E(y_t|y_{1:t-1})
    - V_yt_tlag
```
double[] V_yt_tlag
```
      the variances of observation predictions
      Q_t = Var(y_t|y_{1:t-1})
    - KalmanGain
```
double[] KalmanGain
```
      the optimal Kalman gain matrices
    - E_xt_t
```
double[] E_xt_t
```
      the state updates
      x_{t|t} = E(x_t|y_{1:t})
    - V_xt_t
```
double[] V_xt_t
```
      the variances of state updates
      R_{t|t} = Var(x_t|y_{1:t})
- Class com.numericalmethod.suanshu.stats.dlm.univariate.ObservationEquation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6022640975224732245L
  - Serialized Fields
    - F
```
UnivariateRealFunction F
```
      For a time-invariant DLM (or time-invariant controlled DLM), this represents a constant coefficient of x_t in the observation equation.
      For a time varying DLM (or time varying controlled DLM), this outputs a time dependent coefficient of x_t in the observation equation.
    - V
```
UnivariateRealFunction V
```
      For a time-invariant DLM (or time-invariant controlled DLM), this represents a constant variance of v_t in the observation equation.
      For a time varying DLM (or time varying controlled DLM), this outputs a time dependent variance of v_t in the observation equation.
    - rnorm
```
NormalRng rnorm
```
- Class com.numericalmethod.suanshu.stats.dlm.univariate.StateEquation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4190769357826213482L
  - Serialized Fields
    - G
```
UnivariateRealFunction G
```
      For a time-invariant DLM (or time-invariant controlled DLM), this represents a constant coefficient of x_{t_1} in the state equation.
      For a time varying DLM (or time varying controlled DLM), this outputs the coefficient of x_{t_1} in the state equation.
    - H
```
UnivariateRealFunction H
```
      For a time-invariant controlled DLM, this represents a constant coefficient of u_t.
      For a time varying controlled DLM, this outputs the coefficient of u_t.
    - W
```
UnivariateRealFunction W
```
      For a time-invariant DLM (or time-invariant controlled DLM), this represents a constant variance of {w_t} in the state equation.
      For a time varying DLM (or time varying controlled DLM), this outputs the variance of {w_t} in the state equation.
    - rnorm
```
NormalRng rnorm
```
Package com.numericalmethod.suanshu.stats.factoranalysis
- Class com.numericalmethod.suanshu.stats.factoranalysis.FactorAnalysis extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1097096351721852404L
  - Serialized Fields
    - data
```
ImmutableMatrix data
```
    - S
```
ImmutableMatrix S
```
    - k
```
int k
```
    - rule
```
FactorAnalysis.ScoringRule rule
```
- Class com.numericalmethod.suanshu.stats.factoranalysis.FAEstimator extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  -3997321623934269806L
  - Serialized Fields
    - nObs
```
int nObs
```
    - psi
```
ImmutableVector psi
```
    - loadings
```
ImmutableMatrix loadings
```
    - logLikelihood
```
double logLikelihood
```
    - dof
```
int dof
```
    - scores
```
ImmutableMatrix scores
```
Package com.numericalmethod.suanshu.stats.hmm
- Class com.numericalmethod.suanshu.stats.hmm.HiddenMarkovModel extends SimpleMC implements Serializable
  
  serialVersionUID:
  
  415361657504406539L
  - Serialized Fields
    - B
```
RandomNumberGenerator[] B
```
      the conditional observation distributions (random number generators)
- Class com.numericalmethod.suanshu.stats.hmm.HmmInnovation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  896477006983186993L
  - Serialized Fields
    - state
```
int state
```
    - observation
```
double observation
```
Package com.numericalmethod.suanshu.stats.hmm.mixture
- Class com.numericalmethod.suanshu.stats.hmm.mixture.HiddenMarkovModel extends HiddenMarkovModel implements Serializable
  
  serialVersionUID:
  
  -352029381014823042L
  - Serialized Fields
    - dist
```
HMMDistribution dist
```
- Class com.numericalmethod.suanshu.stats.hmm.mixture.HmmBaumWelch extends HiddenMarkovModel implements Serializable
  
  serialVersionUID:
  
  -8782687626606568649L
- Class com.numericalmethod.suanshu.stats.hmm.mixture.HmmBaumWelch.TrainedModel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1022900030769278234L
  - Serialized Fields
    - model
```
HiddenMarkovModel model
```
      the newly trained model as a result of the Baum-Welch algorithm
    - logLikelihood
```
double logLikelihood
```
      the log-likelihood
- Class com.numericalmethod.suanshu.stats.hmm.mixture.HmmViterbi extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3786015921154922574L
  - Serialized Fields
    - model
```
HiddenMarkovModel model
```
      the underlying hidden Markov model
Package com.numericalmethod.suanshu.stats.hmm.mixture.distribution
- Class com.numericalmethod.suanshu.stats.hmm.mixture.distribution.BetaDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5324981873084547404L
  - Serialized Fields
    - isAlphaEstimated
```
boolean isAlphaEstimated
```
    - isBetaEstimated
```
boolean isBetaEstimated
```
    - lambda
```
BetaDistribution.Lambda[] lambda
```
    - epsilon
```
double epsilon
```
    - maxIterations
```
int maxIterations
```
    - gamma
```
Gamma gamma
```
    - digamma
```
Digamma digamma
```
    - trigamma
```
Trigamma trigamma
```
- Class com.numericalmethod.suanshu.stats.hmm.mixture.distribution.BetaDistribution.Lambda extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7111776190469520385L
  - Serialized Fields
    - alpha
```
double alpha
```
      α: the shape parameter
    - beta
```
double beta
```
      β: the shape parameter
- Class com.numericalmethod.suanshu.stats.hmm.mixture.distribution.BinomialDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  618964002358353951L
  - Serialized Fields
    - lambda
```
BinomialDistribution.Lambda[] lambda
```
- Class com.numericalmethod.suanshu.stats.hmm.mixture.distribution.BinomialDistribution.Lambda extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6039030562122187097L
  - Serialized Fields
    - size
```
int size
```
      the size
    - p
```
double p
```
      the success probability in each trial
- Class com.numericalmethod.suanshu.stats.hmm.mixture.distribution.ExponentialDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  189384260194202941L
  - Serialized Fields
    - rates
```
java.lang.Double[] rates
```
- Class com.numericalmethod.suanshu.stats.hmm.mixture.distribution.GammaDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1324439141411025717L
  - Serialized Fields
    - isShapeEstimated
```
boolean isShapeEstimated
```
    - isScaleEstimated
```
boolean isScaleEstimated
```
    - lambda
```
GammaDistribution.Lambda[] lambda
```
    - epsilon
```
double epsilon
```
    - maxIterations
```
int maxIterations
```
    - digamma
```
Digamma digamma
```
    - trigamma
```
Trigamma trigamma
```
- Class com.numericalmethod.suanshu.stats.hmm.mixture.distribution.GammaDistribution.Lambda extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8804842861990160674L
  - Serialized Fields
    - k
```
double k
```
      the shape parameter
    - theta
```
double theta
```
      the scale parameter
- Class com.numericalmethod.suanshu.stats.hmm.mixture.distribution.LogNormalDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3073977038628368634L
  - Serialized Fields
    - lambda
```
LogNormalDistribution.Lambda[] lambda
```
    - isMuEstimated
```
boolean isMuEstimated
```
    - isSigmaEstimated
```
boolean isSigmaEstimated
```
- Class com.numericalmethod.suanshu.stats.hmm.mixture.distribution.LogNormalDistribution.Lambda extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2999406505936650029L
  - Serialized Fields
    - logMu
```
double logMu
```
      the log-mean μ ∈ R
    - logSigma
```
double logSigma
```
      the log-standard deviation; shape
- Class com.numericalmethod.suanshu.stats.hmm.mixture.distribution.NormalDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1529040668026790908L
  - Serialized Fields
    - lambda
```
NormalDistribution.Lambda[] lambda
```
    - isMuEstimated
```
boolean isMuEstimated
```
    - isSigmaEstimated
```
boolean isSigmaEstimated
```
- Class com.numericalmethod.suanshu.stats.hmm.mixture.distribution.NormalDistribution.Lambda extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3637177532528212669L
  - Serialized Fields
    - mu
```
double mu
```
      the mean
    - sigma
```
double sigma
```
      the standard deviation
- Class com.numericalmethod.suanshu.stats.hmm.mixture.distribution.PoissonDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1574719330688925945L
  - Serialized Fields
    - rates
```
java.lang.Double[] rates
```
Package com.numericalmethod.suanshu.stats.hmm.rabiner
- Class com.numericalmethod.suanshu.stats.hmm.rabiner.HiddenMarkovModel extends HiddenMarkovModel implements Serializable
  
  serialVersionUID:
  
  -4368572607327115500L
  - Serialized Fields
    - B
```
ImmutableMatrix B
```
      the conditional probabilities of the observation symbols
- Class com.numericalmethod.suanshu.stats.hmm.rabiner.HmmForwardBackward extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2762033466707589863L
  - Serialized Fields
    - model
```
HiddenMarkovModel model
```
    - scales
```
Vector scales
```
      the scaling vector for α and β, row by row for T rows
- Class com.numericalmethod.suanshu.stats.hmm.rabiner.HmmGamma extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8970068039265368185L
  - Serialized Fields
    - model
```
HiddenMarkovModel model
```
- Class com.numericalmethod.suanshu.stats.hmm.rabiner.HmmTrainByEM extends HiddenMarkovModel implements Serializable
  
  serialVersionUID:
  
  -8537518198563944164L
- Class com.numericalmethod.suanshu.stats.hmm.rabiner.HmmXi extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  882179517824475466L
  - Serialized Fields
    - model
```
HiddenMarkovModel model
```
Package com.numericalmethod.suanshu.stats.markovchain
- Class com.numericalmethod.suanshu.stats.markovchain.SimpleMC extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6406149682743835428L
  - Serialized Fields
    - PI
```
ImmutableVector PI
```
      the initial state probabilities
    - A
```
ImmutableMatrix A
```
      the state transition probabilities
    - qt_1
```
int qt_1
```
    - multinomial
```
MultinomialRvg[] multinomial
```
Package com.numericalmethod.suanshu.stats.pca
- Class com.numericalmethod.suanshu.stats.pca.PCAbyEigen extends com.numericalmethod.suanshu.stats.pca.PCAImpl implements Serializable
  
  serialVersionUID:
  
  -8353964949960328298L
  - Serialized Fields
    - correlation
```
boolean correlation
```
    - V
```
ImmutableMatrix V
```
- Class com.numericalmethod.suanshu.stats.pca.PCAbySVD extends com.numericalmethod.suanshu.stats.pca.PCAImpl implements Serializable
  
  serialVersionUID:
  
  -8694485625699091044L
  - Serialized Fields
    - centered
```
boolean centered
```
    - scaled
```
boolean scaled
```
    - mean
```
ImmutableVector mean
```
    - scale
```
ImmutableVector scale
```
Package com.numericalmethod.suanshu.stats.random.concurrent
- Class com.numericalmethod.suanshu.stats.random.concurrent.ConcurrentCachedGenerator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1697590116214511998L
  - Serialization Methods
    - readObject
```
public void readObject(java.io.ObjectInputStream ois)
                throws java.io.IOException,
                       java.lang.ClassNotFoundException
```
      Throws:
      
      java.io.IOException
      
      java.lang.ClassNotFoundException
  - Serialized Fields
    - cacheSize
```
int cacheSize
```
    - cache
```
com.numericalmethod.suanshu.stats.random.concurrent.AtomicIndexedList<T> cache
```
    - generator
```
ConcurrentCachedGenerator.Generator<T> generator
```
- Class com.numericalmethod.suanshu.stats.random.concurrent.ConcurrentCachedRLG extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7368135259389219205L
  - Serialized Fields
    - concurrentGenerator
```
ConcurrentCachedGenerator<T> concurrentGenerator
```
    - rlg
```
RandomNumberGenerator rlg
```
- Class com.numericalmethod.suanshu.stats.random.concurrent.ConcurrentCachedRNG extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3979467102789638226L
  - Serialized Fields
    - concurrentGenerator
```
ConcurrentCachedGenerator<T> concurrentGenerator
```
    - rng
```
RandomNumberGenerator rng
```
- Class com.numericalmethod.suanshu.stats.random.concurrent.ConcurrentCachedRVG extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2640752468220134111L
  - Serialized Fields
    - concurrentGenerator
```
ConcurrentCachedGenerator<T> concurrentGenerator
```
    - rvg
```
RandomVectorGenerator rvg
```
Package com.numericalmethod.suanshu.stats.random.multivariate
- Class com.numericalmethod.suanshu.stats.random.multivariate.IID extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7092954650019808429L
  - Serialized Fields
    - rng
```
RandomNumberGenerator rng
```
    - length
```
int length
```
- Class com.numericalmethod.suanshu.stats.random.multivariate.MultinomialRvg extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5624979666582545581L
  - Serialized Fields
    - size
```
int size
```
    - cumprob
```
double[] cumprob
```
    - rng
```
RandomLongGenerator rng
```
- Class com.numericalmethod.suanshu.stats.random.multivariate.NormalRvg extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6922538406551671519L
  - Serialized Fields
    - size
```
int size
```
    - mu
```
ImmutableVector mu
```
    - A
```
ImmutableMatrix A
```
    - iid
```
IID iid
```
- Class com.numericalmethod.suanshu.stats.random.multivariate.UniformDistributionOverBox extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7833162486944486618L
  - Serialized Fields
    - bounds
```
RealInterval[] bounds
```
    - rng
```
RandomLongGenerator rng
```
Package com.numericalmethod.suanshu.stats.random.univariate
- Class com.numericalmethod.suanshu.stats.random.univariate.BinomialRng extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6517017119083935064L
  - Serialized Fields
    - n
```
int n
```
      the number of trials, a natural number
    - p
```
double p
```
      the success probability in each trial, [0, 1]
    - uniform
```
RandomLongGenerator uniform
```
- Class com.numericalmethod.suanshu.stats.random.univariate.InverseTransformSampling extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  415385428929131832L
  - Serialized Fields
    - distribution
```
ProbabilityDistribution distribution
```
      the distribution to sample random numbers from
    - uniform
```
RandomLongGenerator uniform
```
      a uniform random number generator
- Class com.numericalmethod.suanshu.stats.random.univariate.LogNormalRng extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7818000050701965396L
  - Serialized Fields
    - rnorm
```
NormalRng rnorm
```
- Class com.numericalmethod.suanshu.stats.random.univariate.RayleighRng extends InverseTransformSampling implements Serializable
  
  serialVersionUID:
  
  385409506785609120L
- Class com.numericalmethod.suanshu.stats.random.univariate.WeibullRng extends InverseTransformSampling implements Serializable
  
  serialVersionUID:
  
  2307516730305870855L
Package com.numericalmethod.suanshu.stats.random.univariate.beta
- Class com.numericalmethod.suanshu.stats.random.univariate.beta.Cheng1978 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5214942113991093822L
  - Serialized Fields
    - aa
```
double aa
```
    - bb
```
double bb
```
    - a
```
double a
```
    - b
```
double b
```
    - alpha
```
double alpha
```
    - beta
```
double beta
```
    - delta
```
double delta
```
    - k1
```
double k1
```
    - k2
```
double k2
```
    - gamma
```
double gamma
```
    - uniform
```
RandomLongGenerator uniform
```
- Class com.numericalmethod.suanshu.stats.random.univariate.beta.VanDerWaerden1969 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3713071085857775246L
  - Serialized Fields
    - X
```
RandomGammaGenerator X
```
      Deprecated.
    - Y
```
RandomGammaGenerator Y
```
      Deprecated.
Package com.numericalmethod.suanshu.stats.random.univariate.exp
- Class com.numericalmethod.suanshu.stats.random.univariate.exp.InverseTransformSamplingExpRng extends InverseTransformSampling implements Serializable
  
  serialVersionUID:
  
  -7780200329794786890L
- Class com.numericalmethod.suanshu.stats.random.univariate.exp.Ziggurat2000Exp extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3264819647641181983L
  - Serialized Fields
    - shr3
```
SHR3 shr3
```
Package com.numericalmethod.suanshu.stats.random.univariate.gamma
- Class com.numericalmethod.suanshu.stats.random.univariate.gamma.InverseTransformSamplingGammaRng extends InverseTransformSampling implements Serializable
  
  serialVersionUID:
  
  2388823539890391751L
- Class com.numericalmethod.suanshu.stats.random.univariate.gamma.KunduGupta2007 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3263104897135536685L
  - Serialized Fields
    - theta
```
double theta
```
    - uniform
```
RandomLongGenerator uniform
```
    - k
```
double k
```
    - a
```
double a
```
    - b
```
double b
```
    - c
```
double c
```
    - d
```
double d
```
    - aab
```
double aab
```
    - k1
```
double k1
```
- Class com.numericalmethod.suanshu.stats.random.univariate.gamma.MarsagliaTsang2000 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -123794919125284167L
  - Serialized Fields
    - theta
```
double theta
```
    - normal
```
RandomStandardNormalNumberGenerator normal
```
    - uniform
```
RandomLongGenerator uniform
```
    - generate
```
com.numericalmethod.suanshu.stats.random.univariate.gamma.MarsagliaTsang2000.Generate generate
```
- Class com.numericalmethod.suanshu.stats.random.univariate.gamma.XiTanLiu2010a extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5583101276778642684L
  - Serialized Fields
    - k
```
double k
```
    - uniform
```
RandomLongGenerator uniform
```
    - theta
```
double theta
```
    - c
```
double c
```
    - B_max
```
double B_max
```
    - B_min
```
double B_min
```
- Class com.numericalmethod.suanshu.stats.random.univariate.gamma.XiTanLiu2010b extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4392051865487422613L
  - Serialized Fields
    - k
```
double k
```
    - uniform
```
RandomLongGenerator uniform
```
    - u_max
```
double u_max
```
    - v_min
```
double v_min
```
    - v_max
```
double v_max
```
    - dv
```
double dv
```
Package com.numericalmethod.suanshu.stats.random.univariate.normal
- Class com.numericalmethod.suanshu.stats.random.univariate.normal.BoxMuller extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3770187814736071713L
  - Serialized Fields
    - z1
```
double z1
```
    - z2
```
double z2
```
    - next
```
boolean next
```
    - uniform
```
RandomLongGenerator uniform
```
- Class com.numericalmethod.suanshu.stats.random.univariate.normal.MarsagliaBray1964 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -306625462486699065L
  - Serialized Fields
    - z1
```
double z1
```
    - z2
```
double z2
```
    - next
```
boolean next
```
    - uniform
```
RandomLongGenerator uniform
```
- Class com.numericalmethod.suanshu.stats.random.univariate.normal.NormalRng extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8315236151126753331L
  - Serialized Fields
    - mean
```
double mean
```
    - sigma
```
double sigma
```
    - rnorm
```
RandomStandardNormalNumberGenerator rnorm
```
- Class com.numericalmethod.suanshu.stats.random.univariate.normal.StandardNormalRng extends Zignor2005 implements Serializable
  
  serialVersionUID:
  
  9032219362199723829L
- Class com.numericalmethod.suanshu.stats.random.univariate.normal.Ziggurat2000 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4731529421032384828L
  - Serialized Fields
    - uniform
```
RandomLongGenerator uniform
```
- Class com.numericalmethod.suanshu.stats.random.univariate.normal.Zignor2005 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3699567417334271306L
  - Serialized Fields
    - uniform
```
RandomLongGenerator uniform
```
Package com.numericalmethod.suanshu.stats.random.univariate.poisson
- Class com.numericalmethod.suanshu.stats.random.univariate.poisson.Knuth1969 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1781460427788259261L
  - Serialized Fields
    - uniform
```
RandomLongGenerator uniform
```
    - L
```
double L
```
Package com.numericalmethod.suanshu.stats.random.univariate.uniform
- Class com.numericalmethod.suanshu.stats.random.univariate.uniform.MersenneTwister extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -19968189159888170L
  - Serialized Fields
    - mt
```
int[] mt
```
      the array for the state vector
    - mti
```
int mti
```
      current index in mt[]; mti==LENGTH+1 means mt is not initialized
- Class com.numericalmethod.suanshu.stats.random.univariate.uniform.MWC8222 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5599533419537265613L
  - Serialized Fields
    - s_uiStateMWC
```
int s_uiStateMWC
```
    - s_uiCarryMWC
```
int s_uiCarryMWC
```
    - s_auiStateMWC
```
long[] s_auiStateMWC
```
    - uiMin
```
long uiMin
```
- Class com.numericalmethod.suanshu.stats.random.univariate.uniform.SHR0 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2811912040738211505L
  - Serialized Fields
    - jzr
```
int jzr
```
- Class com.numericalmethod.suanshu.stats.random.univariate.uniform.SHR3 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2136503199461130995L
  - Serialized Fields
    - jsr
```
int jsr
```
    - shr0
```
SHR0 shr0
```
- Class com.numericalmethod.suanshu.stats.random.univariate.uniform.UniformRng extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7404850036415487977L
  - Serialized Fields
    - method
```
UniformRng.Method method
```
    - uniform
```
RandomLongGenerator uniform
```
Package com.numericalmethod.suanshu.stats.random.univariate.uniform.linear
- Class com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.CompositeLinearCongruentialGenerator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3773399569566141270L
  - Serialized Fields
    - rng
```
LinearCongruentialGenerator[] rng
```
    - m
```
long m
```
- Class com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.LEcuyer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8058307393389382534L
  - Serialized Fields
    - rng
```
CompositeLinearCongruentialGenerator rng
```
    - mrg1
```
MRG mrg1
```
    - mrg2
```
MRG mrg2
```
    - m
```
long m
```
- Class com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.Lehmer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6754726794556292170L
  - Serialized Fields
    - a
```
long a
```
      the multiplier
    - m
```
long m
```
      the modulus
    - q
```
long q
```
      m / a
    - r
```
long r
```
      m % a
    - x
```
java.util.concurrent.atomic.AtomicLong x
```
- Class com.numericalmethod.suanshu.stats.random.univariate.uniform.linear.MRG extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5245281730171141839L
  - Serialized Fields
    - rng
```
Lehmer[] rng
```
    - sign
```
boolean[] sign
```
    - x
```
long[] x
```
    - m
```
long m
```
Package com.numericalmethod.suanshu.stats.regression.linear
- Class com.numericalmethod.suanshu.stats.regression.linear.Beta extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8810269738707741595L
  - Serialized Fields
    - betaHat
```
ImmutableVector betaHat
```
      the coefficient estimates, β^
    - covariance
```
ImmutableMatrix covariance
```
      the covariance matrix of the coefficient estimates, β^
    - stderr
```
ImmutableVector stderr
```
      the standard errors of the coefficients β^
- Class com.numericalmethod.suanshu.stats.regression.linear.LMProblem extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8830949651380537172L
  - Serialized Fields
    - y
```
ImmutableVector y
```
      the response vector; the regressands; the dependent variables
      a vector of length n
    - wy
```
ImmutableVector wy
```
      the weighted response vector
    - A
```
ImmutableMatrix A
```
      the design matrix, the regressors, including the intercept if any; each column corresponds to one regressor
      a n x m matrix
    - wA
```
ImmutableMatrix wA
```
      the weighted design matrix, w
    - addIntercept
```
boolean addIntercept
```
      true iff to add an intercept term to the linear regression
    - weights
```
ImmutableVector weights
```
      the weights to each observation
    - invOfwAtwA
```
ImmutableMatrix invOfwAtwA
```
      (wA' %*% wA)^-1
- Class com.numericalmethod.suanshu.stats.regression.linear.Residuals extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7635580752345564235L
  - Serialized Fields
    - problem
```
LMProblem problem
```
      the linear regression problem to be solved
    - fitted
```
ImmutableVector fitted
```
      the fitted values, y^
    - residuals
```
ImmutableVector residuals
```
      the residuals, ε
Package com.numericalmethod.suanshu.stats.regression.linear.glm
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.Beta extends Beta implements Serializable
  
  serialVersionUID:
  
  1308153743122307684L
  - Serialized Fields
    - z
```
ImmutableVector z
```
      the z-values for the GLM coefficients β^
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.GeneralizedLinearModel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7302563584234933711L
  - Serialized Fields
    - problem
```
GLMProblem problem
```
      the generalized linear regression problem to be solved
    - beta
```
Beta beta
```
      the GLM coefficients β^ statistics
    - residuals
```
Residuals residuals
```
      the residual analysis of this GLM regression
    - AIC
```
double AIC
```
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.GLMProblem extends LMProblem implements Serializable
  
  serialVersionUID:
  
  -2413197498057435982L
  - Serialized Fields
    - family
```
Family family
```
      the exponential family distribution for the mean
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.IWLS extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8396446353752589352L
  - Serialized Fields
    - threshold
```
double threshold
```
      the convergence threshold
    - maxIterations
```
int maxIterations
```
      the maximum number of iterations
    - run
```
com.numericalmethod.suanshu.stats.regression.linear.glm.IWLS.Run run
```
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.Residuals extends Residuals implements Serializable
  
  serialVersionUID:
  
  -5110905028706076409L
  - Serialized Fields
    - overdispersion
```
double overdispersion
```
      overdispersion
    - deviance
```
double deviance
```
      deviance
    - deviances
```
double[] deviances
```
      deviances of observations
    - devianceResiduals
```
ImmutableVector devianceResiduals
```
      deviances residuals
Package com.numericalmethod.suanshu.stats.regression.linear.glm.distribution
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Binomial extends Family implements Serializable
  
  serialVersionUID:
  
  1045243836644500667L
  - Serialized Fields
    - m
```
int m
```
      the biggest integer that a binomial variable can take
      E.g., When m = 1, the binomial variable can be 0 or 1. When m = 3, the variable can be 0, 1, 2, 3.
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Family extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7838333643075565546L
  - Serialized Fields
    - link
```
LinkFunction link
```
      the link function of this distribution
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Gamma extends Family implements Serializable
  
  serialVersionUID:
  
  2018969288839159003L
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Gaussian extends Family implements Serializable
  
  serialVersionUID:
  
  -2834048277518541565L
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.InverseGaussian extends Family implements Serializable
  
  serialVersionUID:
  
  6243289038729757348L
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.Poisson extends Family implements Serializable
  
  serialVersionUID:
  
  -6733725629081070502L
Package com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Cloglog extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -758394627768313151L
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Identity extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8776773610475823899L
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Inverse extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7380270070500452766L
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.InverseSquared extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -692172755111567472L
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Log extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8793471959644380565L
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Logit extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8195805056275867358L
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Probit extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3295159321903671428L
  - Serialized Fields
    - normal
```
ProbabilityDistribution normal
```
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.distribution.link.Sqrt extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4895417862529483533L
Package com.numericalmethod.suanshu.stats.regression.linear.glm.quasi
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.Beta extends Beta implements Serializable
  
  serialVersionUID:
  
  -4938570590634353096L
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.GeneralizedLinearModelQuasiFamily extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5583735073283537892L
  - Serialized Fields
    - problem
```
QuasiGlmProblem problem
```
      the quasi- generalized linear regression problem to be solved
    - beta
```
Beta beta
```
      the GLM coefficients β^ statistics
    - residuals
```
Residuals residuals
```
      the residual analysis of this quasi GLM regression
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.QuasiGlmProblem extends GLMProblem implements Serializable
  
  serialVersionUID:
  
  -139592044538538242L
  - Serialized Fields
    - quasiFamily
```
QuasiFamily quasiFamily
```
      the quasi-quasiFamily distribution
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.Residuals extends Residuals implements Serializable
  
  serialVersionUID:
  
  6001115596548483211L
Package com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Binomial extends Binomial implements Serializable
  
  serialVersionUID:
  
  343549885912778071L
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Gamma extends Gamma implements Serializable
  
  serialVersionUID:
  
  -1315160155301098308L
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Gaussian extends Gaussian implements Serializable
  
  serialVersionUID:
  
  -4917701604122644123L
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.InverseGaussian extends InverseGaussian implements Serializable
  
  serialVersionUID:
  
  3167942146520581615L
- Class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Poisson extends Poisson implements Serializable
  
  serialVersionUID:
  
  -2420005355136021964L
Package com.numericalmethod.suanshu.stats.regression.linear.logistic
- Class com.numericalmethod.suanshu.stats.regression.linear.logistic.Beta extends Beta implements Serializable
  
  serialVersionUID:
  
  5581614766157518492L
  - Serialized Fields
    - z
```
ImmutableVector z
```
      the z-value for the regression coefficients β^
- Class com.numericalmethod.suanshu.stats.regression.linear.logistic.Logistic extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4638262770862582096L
  - Serialized Fields
    - problem
```
LogisticProblem problem
```
      the logistic regression problem to be solved
    - beta
```
Beta beta
```
      the β^ statistics
    - residuals
```
Residuals residuals
```
      the residual analysis of this regression
    - ML
```
double ML
```
      the maximum log-likelihood
    - AIC
```
double AIC
```
      the AIC
- Class com.numericalmethod.suanshu.stats.regression.linear.logistic.LogisticProblem extends LMProblem implements Serializable
  
  serialVersionUID:
  
  3242128168576872359L
- Class com.numericalmethod.suanshu.stats.regression.linear.logistic.Residuals extends Residuals implements Serializable
  
  serialVersionUID:
  
  2420227126483768882L
  - Serialized Fields
    - devianceResiduals
```
ImmutableVector devianceResiduals
```
      the residuals, ε
    - nullDeviance
```
double nullDeviance
```
      the null deviance
    - deviance
```
double deviance
```
      the residual deviance
Package com.numericalmethod.suanshu.stats.regression.linear.modelselection
- Class com.numericalmethod.suanshu.stats.regression.linear.modelselection.Backward extends com.numericalmethod.suanshu.stats.regression.linear.modelselection.SingleFactorSelection implements Serializable
  
  serialVersionUID:
  
  -6224972247944295109L
- Class com.numericalmethod.suanshu.stats.regression.linear.modelselection.Forward extends com.numericalmethod.suanshu.stats.regression.linear.modelselection.SingleFactorSelection implements Serializable
  
  serialVersionUID:
  
  7404148393354740377L
- Class com.numericalmethod.suanshu.stats.regression.linear.modelselection.SingleFactorSelection.ModelNotFound extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  2241153525330369776L
Package com.numericalmethod.suanshu.stats.regression.linear.ols
- Class com.numericalmethod.suanshu.stats.regression.linear.ols.Beta extends Beta implements Serializable
  
  serialVersionUID:
  
  505688070492242549L
  - Serialized Fields
    - t
```
ImmutableVector t
```
      the z- or t-value for the regression coefficients β^
- Class com.numericalmethod.suanshu.stats.regression.linear.ols.Diagnostics extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3834978411301056355L
  - Serialized Fields
    - DFFITS
```
ImmutableVector DFFITS
```
      DFFITS, Welsch and Kuh Measure
      See Also:
      
      "p.105 (4.23). Section 4.9.2. Regression Analysis by Example, 3rd edition, 2000. Chatterjee, Hadi and Price. Wiley Series in Probability and Statistics."
      Belsley, David A.; Edwin Kuh, Roy E. Welsch. Regression diagnostics : identifying influential data and sources of collinearity. Wiley series in probability and mathematical statistics. New York: John Wiley & Sons. ISBN 0471058564. 1980.
    - cookDistances
```
ImmutableVector cookDistances
```
      Cook distance
      
      See Also:
      
      "p.200. Applied Linear Regression, 3rd edition, 2005. Sanford Weisberg. Wiley-Interscience."
    - Hadi
```
ImmutableVector Hadi
```
      Hadi's influence measure
      
      See Also:
      
      "p.105 (4.24). Section 4.9.2. Regression Analysis by Example, 3rd edition, 2000. Chatterjee, Hadi and Price. Wiley Series in Probability and Statistics."
- Class com.numericalmethod.suanshu.stats.regression.linear.ols.InformationCriteria extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5009458656015462636L
  - Serialized Fields
    - AIC
```
double AIC
```
      Akaike information criterion
      
      See Also:
      
      Wikipedia: Akaike information criterion
    - BIC
```
double BIC
```
      Bayesian information criterion
      
      See Also:
      
      Wikipedia: Bayesian information criterion
- Class com.numericalmethod.suanshu.stats.regression.linear.ols.OLSRegression extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5160586611076329153L
  - Serialized Fields
    - problem
```
LMProblem problem
```
      the ordinary linear regression problem to be solved
    - beta
```
Beta beta
```
      the \(\hat{\beta}\) statistics
    - residuals
```
Residuals residuals
```
      the residual analysis of this OLS regression
    - diagnostics
```
Diagnostics diagnostics
```
      the diagnostic measures of this linear regression
    - informationCriteria
```
InformationCriteria informationCriteria
```
      the model selection criteria
- Class com.numericalmethod.suanshu.stats.regression.linear.ols.Residuals extends Residuals implements Serializable
  
  serialVersionUID:
  
  3548902036627503181L
  - Serialized Fields
    - wFitted
```
ImmutableVector wFitted
```
      the weighted, fitted values
    - wResiduals
```
ImmutableVector wResiduals
```
      the weighted residuals
    - stderr
```
double stderr
```
      the standard error of the residuals
    - RSS
```
double RSS
```
      diagnostic measure: the sum of squared residuals, Σ(ε^2)
    - TSS
```
double TSS
```
      diagnostic measure: the total sum of squares, Σ((y-y_mean)^2)
    - R2
```
double R2
```
      diagnostic measure: the R-squared
    - AR2
```
double AR2
```
      diagnostic measure: the adjusted R-squared
    - f
```
double f
```
      diagnostic measure: F statistics
      mean of regression / mean squared error = sum((y_i_hat-y_mean)^2) / mean squared error [(TSS-RSS)/n] / [RSS/(m-n)]
      y_i_hat are the fitted values of the regression.
      
      See Also:
      
      "p.69, equation (2.60). Applied linear regression models. Kutner, Nachtsheim and Neter. 4th edition."
    - hHat
```
ImmutableMatrix hHat
```
      projection matrix H-hat
      
      See Also:
      
      "p.168 Section 8.1, Chapter 8. Applied Linear Regression, 3rd edition, 2005. Sanford Weisberg. Wiley-Interscience."
    - leverage
```
ImmutableVector leverage
```
      leverage; the bigger the leverage for an observation, the bigger influence on the prediction
    - n
```
int n
```
      number of observations
    - m
```
int m
```
      number of factors
Package com.numericalmethod.suanshu.stats.regression.panel
- Class com.numericalmethod.suanshu.stats.regression.panel.OLSPanelRegression extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8467693683002798937L
- Class com.numericalmethod.suanshu.stats.regression.panel.PanelRegressionResult extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2789585372569353418L
  - Serialized Fields
    - beta
```
Beta beta
```
    - residuals
```
Residuals residuals
```
Package com.numericalmethod.suanshu.stats.sampling.resampling
Package com.numericalmethod.suanshu.stats.sampling.resampling.bootstrap
- Class com.numericalmethod.suanshu.stats.sampling.resampling.bootstrap.BootstrapEstimator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1036807822402450319L
  - Serialized Fields
    - bootstrap
```
Resampling bootstrap
```
    - factory
```
StatisticFactory factory
```
    - B
```
int B
```
    - stats
```
double[] stats
```
    - isParallel
```
boolean isParallel
```
- Class com.numericalmethod.suanshu.stats.sampling.resampling.bootstrap.NonParametricBootstrap extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1389039411281921152L
  - Serialized Fields
    - sample
```
double[] sample
```
    - uniform
```
RandomLongGenerator uniform
```
Package com.numericalmethod.suanshu.stats.stochasticprocess.multivariate
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.MultiVariateRealization.Iterator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6955475891642410695L
  - Serialized Fields
    - index
```
int index
```
    - d
```
int d
```
      the dimension of the Brownian motion
    - size
```
int size
```
    - rnorm
```
StandardNormalRng rnorm
```
Package com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.brownian
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.brownian.Brownian extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2983619699044191342L
  - Serialized Fields
    - d
```
int d
```
      the dimension of this Brownian motion
    - mu
```
Vector mu
```
      μ, the drift
    - sigma
```
Matrix sigma
```
      σ, the diffusion constant
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.brownian.RandomWalk extends Brownian implements Serializable
  
  serialVersionUID:
  
  1439653316301482959L
  - Serialized Fields
    - rw
```
RandomWalk rw
```
Package com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.Euler extends RandomWalk implements Serializable
  
  serialVersionUID:
  
  -8718692647304194068L
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.RandomWalk extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4843164261441512469L
  - Serialized Fields
    - sde
```
DiscretizedSDE sde
```
      the SDE specification, in discretized form
    - timePoints
```
TimeGrid timePoints
```
      the set of discretized time points
    - uniform
```
RandomLongGenerator uniform
```
      generate the seeds for the iterators
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.integration.sde.RandomWalk.MultiVariateRealization extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6234304032032811964L
  - Serialized Fields
    - id
```
long id
```
      the ID of this particular realization
    - x0
```
Vector x0
```
      the initial value of the realization
Package com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.Euler extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1762606679185612537L
  - Serialized Fields
    - sde
```
SDE sde
```
      the continuous-time multivariate SDE
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.Ft extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  951393911623434398L
  - Serialized Fields
    - dt
```
double dt
```
      the time differential
    - Xt
```
Vector Xt
```
      the value of the stochastic process at time t
    - Zt
```
Vector Zt
```
      a sampling from the Gaussian distribution
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.FtWt extends Ft implements Serializable
  
  serialVersionUID:
  
  3573740797564494636L
  - Serialized Fields
    - t
```
double t
```
      the current time
    - Wt
```
Vector Wt
```
      the current value(s) of the driving Brownian motion(s)
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.SDE extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -142332496510159578L
  - Serialized Fields
    - mu
```
Drift mu
```
      the drift
      μ(t, Xt, Zt, ...)
    - sigma
```
Diffusion sigma
```
      the diffusion matrix
      σ(t, Xt, Zt, ...)
    - nB
```
int nB
```
      number of independent driving Brownian motions
Package com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ConstantDrift extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5993724336244412550L
  - Serialized Fields
    - mu
```
Vector mu
```
      the drift
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ConstantSigma1 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  789838156206276803L
  - Serialized Fields
    - sigma
```
Matrix sigma
```
      the constant diffusion matrix
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ConstantSigma2 extends Sigma implements Serializable
  
  serialVersionUID:
  
  8146197181580020750L
  - Serialized Fields
    - sigma
```
Matrix sigma
```
      Deprecated.
      
      the constant diffusion matrix
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.Sigma extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5206186355561460562L
- Class com.numericalmethod.suanshu.stats.stochasticprocess.multivariate.sde.coefficients.ZeroDrift extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6279864464293699750L
Package com.numericalmethod.suanshu.stats.stochasticprocess.timepoints
- Class com.numericalmethod.suanshu.stats.stochasticprocess.timepoints.EvenlySpacedGrid extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -852662758806920625L
  - Serialized Fields
    - N
```
int N
```
      the number of time points
    - T0
```
double T0
```
      the beginning of the time interval
    - T
```
double T
```
      the ending of the time interval
    - dt
```
double dt
```
      the duration between any two successive time points
- Class com.numericalmethod.suanshu.stats.stochasticprocess.timepoints.UnitGrid extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5919129414356850015L
  - Serialized Fields
    - N
```
int N
```
      the number of time points
Package com.numericalmethod.suanshu.stats.stochasticprocess.univariate
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.Realization.Iterator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  944058472166716467L
  - Serialized Fields
    - index
```
int index
```
    - size
```
int size
```
    - rnorm
```
StandardNormalRng rnorm
```
Package com.numericalmethod.suanshu.stats.stochasticprocess.univariate.brownian
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.brownian.Brownian extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3104819644178958145L
  - Serialized Fields
    - mu
```
double mu
```
      μ, the drift
    - sigma
```
double sigma
```
      σ, the diffusion constant
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.brownian.RandomWalk extends Brownian implements Serializable
  
  serialVersionUID:
  
  -2358169442332342097L
  - Serialized Fields
    - rw
```
RandomWalk rw
```
Package com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Bt extends FiltrationFunction implements Serializable
  
  serialVersionUID:
  
  3319902208042840904L
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Expectation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8743665014974315315L
  - Serialized Fields
    - I
```
Integrator I
```
      the integrator to compute the integral for each filtration/path
    - t0
```
double t0
```
      the beginning time of the integral time interval
    - t1
```
double t1
```
      the ending time of the integral time interval
    - n
```
int n
```
      the number of discretization in the integral time interval
    - nSim
```
int nSim
```
      the number of simulations
    - mean
```
Mean mean
```
      the mean of the stochastic integral
    - var
```
Variance var
```
      the variance of the stochastic integral
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.F_sum_BtDt extends FiltrationFunction implements Serializable
  
  serialVersionUID:
  
  7280798206010629333L
  - Serialized Fields
    - sum_BtDt
```
double sum_BtDt
```
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.F_sum_tBtDt extends FiltrationFunction implements Serializable
  
  serialVersionUID:
  
  -5716302072250529587L
  - Serialized Fields
    - sum_BtDt
```
double sum_BtDt
```
    - sum_tBtDt
```
double sum_tBtDt
```
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Filtration extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8560488108839145887L
  - Serialized Fields
    - T
```
double[] T
```
      the time grid
    - dt
```
double[] dt
```
      the time increments
    - B
```
double[] B
```
      the simulated Brownian path
    - dB
```
double[] dB
```
      the Brownian increments
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.FiltrationFunction extends UnivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  2519199671992350442L
  - Serialized Fields
    - FT
```
Filtration FT
```
      the filtration, containing all histories
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.IntegralDB extends Integrator implements Serializable
  
  serialVersionUID:
  
  -7546951105521670949L
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.IntegralDt extends Integrator implements Serializable
  
  serialVersionUID:
  
  4012435228714852198L
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.Integrator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2152380201162423158L
  - Serialized Fields
    - f
```
FiltrationFunction f
```
      the integrand
Package com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Euler extends RandomWalk implements Serializable
  
  serialVersionUID:
  
  -3634690323845569959L
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Expectation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  9200499585920780993L
  - Serialized Fields
    - value
```
double value
```
      the value of the integral
    - variance
```
double variance
```
      the variance of the integral
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.Milstein extends RandomWalk implements Serializable
  
  serialVersionUID:
  
  -888262868541928065L
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.RandomWalk extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  848039733898541580L
  - Serialized Fields
    - sde
```
DiscretizedSDE sde
```
      the SDE specification, in discretized form
    - timePoints
```
TimeGrid timePoints
```
      the set of discretized time points
    - uniform
```
RandomLongGenerator uniform
```
      generate the seeds for the iterators
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.integration.sde.RandomWalk.Realization extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -904782969537837677L
  - Serialized Fields
    - id
```
long id
```
      the ID of this particular realization
    - x0
```
double x0
```
      the initial value of the realization
Package com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.Euler extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1898303135871491254L
  - Serialized Fields
    - sde
```
SDE sde
```
      the continuous-time univariate SDE
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.Ft extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7212313653979135150L
  - Serialized Fields
    - dt
```
double dt
```
      the time differential
    - Xt
```
double Xt
```
      the value of the stochastic process at time t
    - Zt
```
double Zt
```
      the value of the driving Brownian motion at time t
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.FtWt extends Ft implements Serializable
  
  serialVersionUID:
  
  -8465603230657193577L
  - Serialized Fields
    - t
```
double t
```
      the current time
    - Wt
```
double Wt
```
      the current value(s) of the driving Brownian motion(s)
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.GeometricBrownian extends SDE implements Serializable
  
  serialVersionUID:
  
  -2095819330692393691L
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.Milstein extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8436869466246200037L
  - Serialized Fields
    - sde
```
SDE sde
```
      the continuous-time SDE specification
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.SDE extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2491057661896647124L
  - Serialized Fields
    - mu
```
Drift mu
```
      the drift
      μ(t, Xt, Zt, ...)
    - sigma
```
Diffusion sigma
```
      the diffusion coefficient
      σ(t, Xt, Zt, ...)
- Class com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.XtAdaptedFunction extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2791702267170773842L
Package com.numericalmethod.suanshu.stats.stochasticprocess.univariate.sde.coefficients
Package com.numericalmethod.suanshu.stats.test
- Class com.numericalmethod.suanshu.stats.test.HypothesisTest extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7288497006202047801L
  - Serialized Fields
    - k
```
int k
```
      number of groups of observations
    - N
```
int N
```
      total number of observations
    - testStatistics
```
double testStatistics
```
      the test statistics
    - pValue
```
double pValue
```
      p-value for the test statistics
Package com.numericalmethod.suanshu.stats.test.distribution.kolmogorov
- Class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -623375125561802864L
  - Serialized Fields
    - n
```
int n
```
      the number of observations
    - bigN
```
int bigN
```
      the big N for which n > bigN we use the asymptotic distribution
    - rightTailApproximation
```
boolean rightTailApproximation
```
      true if we use approximation for the right tail to speed up computation; up to 7 digit of accuracy
- Class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2482476057172648287L
  - Serialized Fields
    - n
```
int n
```
      the number of observations
    - bigN
```
int bigN
```
      the big N for which n > bigN we use the asymptotic distribution
- Class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  1500763160862356081L
  - Serialized Fields
    - type
```
KolmogorovSmirnov.Type type
```
      the type of Kolmogorov-Smirnov test to be performed
    - side
```
KolmogorovSmirnov.Side side
```
      the type of Kolmogorov-Smirnov statistic to be computed
    - Dn
```
double Dn
```
      D_n
    - Dnp
```
double Dnp
```
      D_n⁺
    - Dnn
```
double Dnn
```
      D_n^-
    - ties
```
boolean ties
```
      Indicate whether there are ties in the sample. If yes, the p-value computed is not accurate.
- Class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov1Sample extends KolmogorovSmirnov implements Serializable
  
  serialVersionUID:
  
  765760697235042413L
- Class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov2Samples extends KolmogorovSmirnov implements Serializable
  
  serialVersionUID:
  
  -1052312146733741353L
- Class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1292800936927956061L
  - Serialized Fields
    - side
```
KolmogorovTwoSamplesDistribution.Side side
```
      the type of KolmogorovDistribution two-sample distribution, i.e., equal, greater, less
    - bigN
```
int bigN
```
      the big N for which n > bigN we use the asymptotic distribution
    - n1
```
int n1
```
      the number of observations of the first sample
    - n2
```
int n2
```
      the number of observations of the second sample
    - n
```
int n
```
      the total number of observations of the two samples
    - samples
```
double[] samples
```
      the concat of the two samples in ascending order not copied
Package com.numericalmethod.suanshu.stats.test.distribution.normality
- Class com.numericalmethod.suanshu.stats.test.distribution.normality.DAgostino extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  6264687716671175141L
  - Serialized Fields
    - K2
```
double K2
```
      test statistics K²
    - Z1
```
double Z1
```
      Z1
    - Z2
```
double Z2
```
      Z2
    - pvalueZ1
```
double pvalueZ1
```
      the p-value for Z1
    - pvalueZ2
```
double pvalueZ2
```
      the p-value for Z2
- Class com.numericalmethod.suanshu.stats.test.distribution.normality.JarqueBera extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  -1643343630304438324L
  - Serialized Fields
    - nSim
```
int nSim
```
- Class com.numericalmethod.suanshu.stats.test.distribution.normality.JarqueBeraDistribution extends EmpiricalDistribution implements Serializable
  
  serialVersionUID:
  
  3205444202614366792L
  - Serialized Fields
    - N
```
int N
```
      the number of observations in a sample
    - nSim
```
int nSim
```
      the number of Monte Carlo simulation paths
- Class com.numericalmethod.suanshu.stats.test.distribution.normality.Lilliefors extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  2198171072408449746L
  - Serialized Fields
    - norm
```
ProbabilityDistribution norm
```
    - p1
```
Polynomial p1
```
    - p2
```
Polynomial p2
```
    - p3
```
Polynomial p3
```
- Class com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilk extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  5527399365625541464L
  - Serialized Fields
    - norm
```
ProbabilityDistribution norm
```
    - a_n
```
Polynomial a_n
```
    - a_nm1
```
Polynomial a_nm1
```
- Class com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7410257737117335014L
  - Serialized Fields
    - n
```
int n
```
      the number of observations
    - mu1
```
Polynomial mu1
```
    - sigma1
```
Polynomial sigma1
```
    - gamma
```
Polynomial gamma
```
    - mu2
```
Polynomial mu2
```
    - sigma2
```
Polynomial sigma2
```
    - norm
```
ProbabilityDistribution norm
```
Package com.numericalmethod.suanshu.stats.test.distribution.pearson
- Class com.numericalmethod.suanshu.stats.test.distribution.pearson.AS159 extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3416509412429991833L
  - Serialized Fields
    - rng
```
RandomLongGenerator rng
```
    - rowSums
```
int[] rowSums
```
    - colSums
```
int[] colSums
```
    - N
```
int N
```
    - logFactorials
```
double[] logFactorials
```
- Class com.numericalmethod.suanshu.stats.test.distribution.pearson.AS159.RandomMatrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8850322632686223912L
  - Serialized Fields
    - A
```
ImmutableMatrix A
```
      a random matrix constructed
    - prob
```
double prob
```
      the probability of observing this matrix
- Class com.numericalmethod.suanshu.stats.test.distribution.pearson.ChiSquare4Independence extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  -392052029128468474L
- Class com.numericalmethod.suanshu.stats.test.distribution.pearson.FisherExactDistribution extends EmpiricalDistribution implements Serializable
  
  serialVersionUID:
  
  -5557535255396815783L
Package com.numericalmethod.suanshu.stats.test.mean
- Class com.numericalmethod.suanshu.stats.test.mean.OneWayANOVA extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  2303901262417427454L
  - Serialized Fields
    - df1
```
int df1
```
      degree of freedoms
    - df2
```
int df2
```
      degree of freedoms
- Class com.numericalmethod.suanshu.stats.test.mean.T extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  3473666885758540078L
  - Serialized Fields
    - df
```
double df
```
      degree of freedom
    - mean1
```
double mean1
```
      mean for sample 1
    - var1
```
double var1
```
      variance for sample 1
    - mean2
```
double mean2
```
      mean for sample 2
    - var2
```
double var2
```
      variance for sample 2
    - pValue1SidedLess
```
double pValue1SidedLess
```
      left, one-sided p-value
    - pValue1SidedGreater
```
double pValue1SidedGreater
```
      right, one-sided p-value
    - T
```
ProbabilityDistribution T
```
      the associated TDistribution distribution
    - length1
```
int length1
```
    - length2
```
int length2
```
Package com.numericalmethod.suanshu.stats.test.rank
- Class com.numericalmethod.suanshu.stats.test.rank.KruskalWallis extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  -5414734114083537114L
- Class com.numericalmethod.suanshu.stats.test.rank.SiegelTukey extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  -4644855364299986902L
  - Serialized Fields
    - pValue1SidedLess
```
double pValue1SidedLess
```
      left, one-sided p-value
    - pValue1SidedGreater
```
double pValue1SidedGreater
```
      right, one-sided p-value
- Class com.numericalmethod.suanshu.stats.test.rank.VanDerWaerden extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  3919037966159603309L
Package com.numericalmethod.suanshu.stats.test.rank.wilcoxon
- Class com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSum extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  2228668906753707675L
  - Serialized Fields
    - pValue1SidedLess
```
double pValue1SidedLess
```
      left, one-sided p-value
    - pValue1SidedGreater
```
double pValue1SidedGreater
```
      right, one-sided p-value
- Class com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSumDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1047214156276123055L
  - Serialized Fields
    - M
```
int M
```
      number of observations in group 1
    - N
```
int N
```
      number of observations in group 2
    - distribution
```
double[][][] distribution
```
- Class com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRank extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  5355151867756332375L
  - Serialized Fields
    - pValue1SidedLess
```
double pValue1SidedLess
```
      left, one-sided p-value
    - pValue1SidedGreater
```
double pValue1SidedGreater
```
      right, one-sided p-value
- Class com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRankDistribution extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5820441938948318262L
  - Serialized Fields
    - N
```
int N
```
      number of observations in group 2
    - distribution
```
double[][] distribution
```
Package com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity
- Class com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.BreuschPagan extends com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.Heteroskedasticity implements Serializable
  
  serialVersionUID:
  
  -4873544630683073764L
  - Serialized Fields
    - studentized
```
boolean studentized
```
- Class com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.Glejser extends com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.Heteroskedasticity implements Serializable
  
  serialVersionUID:
  
  3449101822484722956L
- Class com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.HarveyGodfrey extends com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.Heteroskedasticity implements Serializable
  
  serialVersionUID:
  
  3696618289843731562L
- Class com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.White extends com.numericalmethod.suanshu.stats.test.regression.linear.heteroskedasticity.Heteroskedasticity implements Serializable
  
  serialVersionUID:
  
  -1511503259202607962L
  - Serialized Fields
    - K
```
int K
```
    - nAuxiliaryFactors
```
int nAuxiliaryFactors
```
Package com.numericalmethod.suanshu.stats.test.timeseries.adf
- Class com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFAsymptoticDistribution extends EmpiricalDistribution implements Serializable
  
  serialVersionUID:
  
  3055696918467310920L
  - Serialized Fields
    - trend
```
AugmentedDickeyFuller.TrendType trend
```
      the type of augmented Dickey-Fuller (ADF) test
    - nSim
```
int nSim
```
      the number of simulations
    - nT
```
int nT
```
      the number of grid points in interval [0, 1]
      The bigger nT is, the finer the time discretization is, the smaller the discretization error is, and the more accurate the results are.
- Class com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFAsymptoticDistribution1 extends EmpiricalDistribution implements Serializable
  
  serialVersionUID:
  
  581505519477236441L
  - Serialized Fields
    - nT
```
int nT
```
      Deprecated.
      
      the number of grid point in interval [0, 1]
      The bigger nT is, the finer the time discretization is, the smaller the discretization error is, the more accurate the results are.
    - nSim
```
int nSim
```
      Deprecated.
      
      the number of simulations
    - seed
```
long seed
```
      Deprecated.
      
      the seed (for randomly generating the simulations)
- Class com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFDistribution extends EmpiricalDistribution implements Serializable
  
  serialVersionUID:
  
  4619205543530773371L
- Class com.numericalmethod.suanshu.stats.test.timeseries.adf.ADFFiniteSampleDistribution extends EmpiricalDistribution implements Serializable
  
  serialVersionUID:
  
  2499417130359473740L
  - Serialized Fields
    - sampleSize
```
int sampleSize
```
      the (finite) sample size
    - trend
```
AugmentedDickeyFuller.TrendType trend
```
      the type of augmented Dickey-Fuller (ADF) test
    - lagAdjust
```
boolean lagAdjust
```
      indicate whether the distribution is adjusted for lags
    - lagOrder
```
int lagOrder
```
      the lag order used to calculate the test statistics; lagOrder = 0 yields the Dickey-Fuller distribution
    - truncation
```
int truncation
```
      the number of truncated values
    - nSim
```
int nSim
```
      the number of simulations
- Class com.numericalmethod.suanshu.stats.test.timeseries.adf.AugmentedDickeyFuller extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  6899022594656492452L
  - Serialized Fields
    - type
```
AugmentedDickeyFuller.TrendType type
```
      the trend type
    - lagOrder
```
int lagOrder
```
      the lag order
Package com.numericalmethod.suanshu.stats.test.timeseries.portmanteau
- Class com.numericalmethod.suanshu.stats.test.timeseries.portmanteau.BoxPierce extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  -1950622702699524774L
  - Serialized Fields
    - lag
```
int lag
```
- Class com.numericalmethod.suanshu.stats.test.timeseries.portmanteau.LjungBox extends BoxPierce implements Serializable
  
  serialVersionUID:
  
  5402855368216708305L
Package com.numericalmethod.suanshu.stats.test.variance
- Class com.numericalmethod.suanshu.stats.test.variance.Bartlett extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  -8020235702973189322L
  - Serialized Fields
    - df
```
double df
```
      the degree of freedom
- Class com.numericalmethod.suanshu.stats.test.variance.BrownForsythe extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  -8697381215101593715L
  - Serialized Fields
    - df1
```
int df1
```
      degree of freedoms
    - df2
```
int df2
```
      degree of freedoms
- Class com.numericalmethod.suanshu.stats.test.variance.F extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  -7360773701296106272L
  - Serialized Fields
    - df1
```
double df1
```
      the degree of freedoms
    - df2
```
double df2
```
      the degree of freedoms
    - estimate
```
double estimate
```
      the estimate of the ratio of two variances
    - pValue1SidedLess
```
double pValue1SidedLess
```
      left, one-sided p-value
    - pValue1SidedGreater
```
double pValue1SidedGreater
```
      right, one-sided p-value
    - F
```
ProbabilityDistribution F
```
      the associated FDistribution distribution
- Class com.numericalmethod.suanshu.stats.test.variance.Levene extends HypothesisTest implements Serializable
  
  serialVersionUID:
  
  -7759286548223805644L
  - Serialized Fields
    - df1
```
double df1
```
      the degree of freedoms
    - df2
```
double df2
```
      the degree of freedoms
Package com.numericalmethod.suanshu.stats.timeseries
- Class com.numericalmethod.suanshu.stats.timeseries.DateTimeGenericTimeSeries extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6081999886305073148L
  - Serialized Fields
    - map
```
java.util.Map<K,V> map
```
- Class com.numericalmethod.suanshu.stats.timeseries.DateTimeGenericTimeSeries.Entry extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3339116838975469286L
  - Serialized Fields
    - time
```
org.joda.time.DateTime time
```
    - value
```
java.lang.Object value
```
Package com.numericalmethod.suanshu.stats.timeseries.linear.multivariate
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.AutoCorrelationFunction extends R2toMatrix implements Serializable
  
  serialVersionUID:
  
  8184541992175118320L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.AutoCovarianceFunction extends R2toMatrix implements Serializable
  
  serialVersionUID:
  
  -4651544334727366357L
Package com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.arima
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.arima.ARIMAModel extends ARIMAXModel implements Serializable
  
  serialVersionUID:
  
  -6715624151705071994L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.arima.ARIMASim extends SimpleMultiVariateTimeSeries implements Serializable
  
  serialVersionUID:
  
  -7753325469010481544L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.arima.ARIMAXModel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7458973361732190139L
  - Serialized Fields
    - mu
```
ImmutableVector mu
```
      the intercept (constant) vector
    - phi
```
ImmutableMatrix[] phi
```
      the AR coefficients
    - d
```
int d
```
      the order of integration
    - theta
```
ImmutableMatrix[] theta
```
      the MA coefficients
    - psi
```
ImmutableMatrix psi
```
      the coefficients of the deterministic terms (excluding the intercept term)
    - sigma
```
ImmutableMatrix sigma
```
      the covariance matrix of white noise
Package com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.InnovationAlgorithm extends InnovationAlgorithmImpl implements Serializable
  
  serialVersionUID:
  
  7596568733389896202L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.InnovationAlgorithmImpl extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4915227115370114056L
  - Serialized Fields
    - Theta
```
Matrix[][] Theta
```
      the coefficients of the linear predictor at each time point
      Θ in Eq. 11.4.23; note that Theta[0][0] is not used to agree with the indexing in Eq. 11.4.23
      
      See Also:
      
      "P. J. Brockwell and R. A. Davis, "Proposition. 11.4.2. Chapter 11.4 Best Linear Predictors of Second Order Random Vectors," in Time Series: Theory and Methods, Springer, 2006."
    - V
```
Matrix[] V
```
      the prediction mean squared error covariance matrices
      These are the covariance matrices for prediction errors at time t for X^_t+1, for all t's. Each V is m x m.
    - XtHat
```
MultiVariateTimeSeries XtHat
```
      the one-step ahead predictors, {X^_t+1}
Package com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.ARMAModel extends ARIMAModel implements Serializable
  
  serialVersionUID:
  
  -5411516352357379254L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.ARMAXModel extends ARIMAXModel implements Serializable
  
  serialVersionUID:
  
  -532980099743368399L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.ARModel extends ARMAModel implements Serializable
  
  serialVersionUID:
  
  -955827072238951528L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.AutoCorrelation extends AutoCorrelationFunction implements Serializable
  
  serialVersionUID:
  
  5142524655215684155L
  - Serialized Fields
    - cov
```
AutoCovariance cov
```
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.AutoCovariance extends AutoCovarianceFunction implements Serializable
  
  serialVersionUID:
  
  6313189663083798666L
  - Serialized Fields
    - nLags
```
int nLags
```
      the number of lags in the result
    - ACVF
```
Matrix[] ACVF
```
      the estimated ACVF
    - m
```
int m
```
    - p
```
int p
```
    - q
```
int q
```
    - p1mm
```
int p1mm
```
    - linearRep
```
LinearRepresentation linearRep
```
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.InnovationAlgorithm extends InnovationAlgorithmImpl implements Serializable
  
  serialVersionUID:
  
  -9114358638972405210L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.Invertibility extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8074177501326494805L
  - Serialized Fields
    - PI
```
ImmutableMatrix[] PI
```
      the coefficients of the linear representation of the time series
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.LinearRepresentation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  291163416143958481L
  - Serialized Fields
    - PSI
```
ImmutableMatrix[] PSI
```
      the coefficients of the linear representation of the time series
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.MAModel extends ARMAModel implements Serializable
  
  serialVersionUID:
  
  5883793480415057662L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARFitting extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7898464153740367018L
  - Serialized Fields
    - estimators
```
com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARFitting.Estimators estimators
```
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VARXModel extends ARMAXModel implements Serializable
  
  serialVersionUID:
  
  -6234614515935280811L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VECM extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8133907425917884603L
  - Serialized Fields
    - mu
```
ImmutableVector mu
```
      the intercept (constant) vector
    - pi
```
ImmutableMatrix pi
```
      the impact matrix
    - gamma
```
ImmutableMatrix[] gamma
```
      the AR coefficients on the lagged differences
    - psi
```
ImmutableMatrix psi
```
      the coefficients of the deterministic terms (excluding the intercept term)
    - sigma
```
ImmutableMatrix sigma
```
      the covariance matrix of white noise
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VECMLongrun extends VECM implements Serializable
  
  serialVersionUID:
  
  5310087929686299585L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arma.VECMTransitory extends VECM implements Serializable
  
  serialVersionUID:
  
  3897042032717583643L
Package com.numericalmethod.suanshu.stats.timeseries.linear.univariate
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.AutoCorrelationFunction extends BivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  3830028627151264673L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.AutoCovarianceFunction extends BivariateRealFunction implements Serializable
  
  serialVersionUID:
  
  3906723146487079300L
Package com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.ARIMAModel extends ARIMAXModel implements Serializable
  
  serialVersionUID:
  
  -3109891295267308560L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.ARIMASim extends SimpleTimeSeries implements Serializable
  
  serialVersionUID:
  
  -3140929344306612001L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.ARIMAXModel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -365343585098976595L
  - Serialized Fields
    - mu
```
double mu
```
      the intercept (constant) term
    - AR
```
double[] AR
```
      the AR coefficients
    - MA
```
double[] MA
```
      the MA coefficients
    - psi
```
double[] psi
```
      the coefficients of the deterministic terms (excluding the intercept term)
    - d
```
int d
```
      the order of integration
    - sigma
```
double sigma
```
      the white noise variance
Package com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.AutoCorrelation extends AutoCorrelationFunction implements Serializable
  
  serialVersionUID:
  
  6262244200920751569L
  - Serialized Fields
    - acvf
```
AutoCovariance acvf
```
    - acvf0
```
double acvf0
```
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.AutoCovariance extends AutoCovarianceFunction implements Serializable
  
  serialVersionUID:
  
  -4826546350282366863L
  - Serialized Fields
    - xt
```
TimeSeries xt
```
    - type
```
AutoCovariance.Type type
```
    - mu
```
double mu
```
      mean of the time series
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.sample.PartialAutoCorrelation extends AutoCorrelationFunction implements Serializable
  
  serialVersionUID:
  
  5166356756995783631L
  - Serialized Fields
    - acf
```
AutoCorrelation acf
```
    - phi
```
java.util.ArrayList<E> phi
```
Package com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.AdditiveModel extends SimpleTimeSeries implements Serializable
  
  serialVersionUID:
  
  -4930965872699423949L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.InnovationAlgorithm extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3912221918516123461L
  - Serialized Fields
    - impl
```
InnovationAlgorithm impl
```
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.MADecomposition extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2947695260702808954L
  - Serialized Fields
    - trend
```
TimeSeries trend
```
      the estimated trend of the time series
    - seasonal
```
TimeSeries seasonal
```
      the estimated seasonal effect of the time series
    - random
```
TimeSeries random
```
      the stationary random component of the time series after the trend and seasonal components are removed
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.MultiplicativeModel extends SimpleTimeSeries implements Serializable
  
  serialVersionUID:
  
  -5324598534409277593L
Package com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAModel extends ARIMAModel implements Serializable
  
  serialVersionUID:
  
  -4016965286954709544L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARMAXModel extends ARIMAXModel implements Serializable
  
  serialVersionUID:
  
  -6408446215186961638L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ARModel extends ARMAModel implements Serializable
  
  serialVersionUID:
  
  -5810711655771005002L
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.AutoCorrelation extends AutoCorrelationFunction implements Serializable
  
  serialVersionUID:
  
  4897568293022034371L
  - Serialized Fields
    - ACF
```
AutoCorrelation ACF
```
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.AutoCovariance extends AutoCovarianceFunction implements Serializable
  
  serialVersionUID:
  
  -3202727352135846385L
  - Serialized Fields
    - ACVF
```
AutoCovariance ACVF
```
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ConditionalSumOfSquares extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1451002615110501510L
  - Serialized Fields
    - mu
```
double mu
```
      the estimated mean of the model
    - estimators
```
com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.ConditionalSumOfSquares.Estimators estimators
```
      the estimated ARMA model and coefficients and variance for the white noise
    - n
```
int n
```
      the length of the observations
    - maxLikelihood
```
double maxLikelihood
```
      the maximum likelihood
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.LinearRepresentation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2589839903205752168L
  - Serialized Fields
    - psi
```
double[] psi
```
      {ψ_i}
      the coefficients of the linear representation of the time series
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arma.MAModel extends ARMAModel implements Serializable
  
  serialVersionUID:
  
  -5430545214277419630L
Package com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GARCH extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8887750734479164588L
  - Serialized Fields
    - nparams
```
int nparams
```
    - var
```
double var
```
      the unconditional variance
    - fit
```
GARCHModel fit
```
      the fitted GARCH getModel
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GARCHModel extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4661624356205948119L
  - Serialized Fields
    - a0
```
double a0
```
      the constant term
    - a
```
double[] a
```
      the ARCH coefficients; null if no ARCH coefficients
    - b
```
double[] b
```
- Class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GARCHSim extends SimpleTimeSeries implements Serializable
  
  serialVersionUID:
  
  -1053973482219091878L
  - Serialized Fields
    - sigma2
```
double[] sigma2
```
      the conditional variances
Package com.numericalmethod.suanshu.stats.timeseries.multivariate
- Class com.numericalmethod.suanshu.stats.timeseries.multivariate.GenericTimeTimeSeries extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3801439196723563663L
  - Serialized Fields
    - ts
```
java.util.ArrayList<E> ts
```
- Class com.numericalmethod.suanshu.stats.timeseries.multivariate.MultiVariateTimeSeries.Entry extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3831767378869133840L
  - Serialized Fields
    - time
```
java.lang.Object time
```
    - value
```
ImmutableVector value
```
Package com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime
- Class com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateRealization.Entry extends MultiVariateTimeSeries.Entry<java.lang.Double> implements Serializable
  
  serialVersionUID:
  
  -6944406333928024382L
- Class com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.MultiVariateTimeSeries.Entry extends MultiVariateTimeSeries.Entry<java.lang.Integer> implements Serializable
  
  serialVersionUID:
  
  5069062398303785542L
- Class com.numericalmethod.suanshu.stats.timeseries.multivariate.realtime.SimpleMultiVariateTimeSeries extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5891767391172972690L
  - Serialized Fields
    - ts
```
java.util.ArrayList<E> ts
```
Package com.numericalmethod.suanshu.stats.timeseries.univariate
- Class com.numericalmethod.suanshu.stats.timeseries.univariate.DateTimeTimeSeries extends GenericTimeTimeSeries<org.joda.time.DateTime> implements Serializable
  
  serialVersionUID:
  
  -6605486037227602006L
- Class com.numericalmethod.suanshu.stats.timeseries.univariate.GenericTimeTimeSeries extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -7878976525481692679L
  - Serialized Fields
    - ts
```
java.util.ArrayList<E> ts
```
- Class com.numericalmethod.suanshu.stats.timeseries.univariate.TimeSeries.Entry extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3089252584751722769L
  - Serialized Fields
    - time
```
java.lang.Object time
```
    - value
```
double value
```
Package com.numericalmethod.suanshu.stats.timeseries.univariate.realtime
- Class com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.OneDimensionTimeSeries extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7217928865048371425L
  - Serialized Fields
    - mts
```
MultiVariateTimeSeries<T extends java.lang.Comparable,E extends MultiVariateTimeSeries.Entry<T>> mts
```
    - dim
```
int dim
```
- Class com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.Realization.Entry extends TimeSeries.Entry<java.lang.Double> implements Serializable
  
  serialVersionUID:
  
  -7490130354083748425L
- Class com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.SimpleTimeSeries extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1405110589928642029L
  - Serialized Fields
    - ts
```
java.util.ArrayList<E> ts
```
- Class com.numericalmethod.suanshu.stats.timeseries.univariate.realtime.TimeSeries.Entry extends TimeSeries.Entry<java.lang.Integer> implements Serializable
  
  serialVersionUID:
  
  -3909894364610534633L
Package com.numericalmethod.suanshu.time
- Class com.numericalmethod.suanshu.time.TimeInterval extends Interval<org.joda.time.DateTime> implements Serializable
  
  serialVersionUID:
  
  -4882274424371987577L
- Class com.numericalmethod.suanshu.time.TimeIntervals extends Intervals<org.joda.time.DateTime> implements Serializable
  
  serialVersionUID:
  
  2576617083213317796L
Package com.numericalmethod.suanshu.vector.doubles
- Class com.numericalmethod.suanshu.vector.doubles.ImmutableVector extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -8189227899525387804L
  - Serialized Fields
    - v
```
Vector v
```
- Class com.numericalmethod.suanshu.vector.doubles.IsVector.SizeMismatch extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.numericalmethod.suanshu.vector.doubles.IsVector.VectorAccessException extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  1L
Package com.numericalmethod.suanshu.vector.doubles.dense
- Class com.numericalmethod.suanshu.vector.doubles.dense.DenseVector extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6685243313141585818L
  - Serialized Fields
    - data
```
double[] data
```
      data storage
    - length
```
int length
```
      the length of this vector, counting from 1
    - math
```
VectorMathOperation math
```
- Class com.numericalmethod.suanshu.vector.doubles.dense.VectorMathOperation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4886086848266357449L
Package com.numericalmethod.suanshu.vector.doubles.dense.operation
- Class com.numericalmethod.suanshu.vector.doubles.dense.operation.Basis extends SparseVector implements Serializable
  
  serialVersionUID:
  
  2076191747009134946L
Package com.numericalmethod.suanshu.vector.doubles.operation
- Class com.numericalmethod.suanshu.vector.doubles.operation.Projection extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4540952332811306329L
  - Serialized Fields
    - orthogonalVector
```
Vector orthogonalVector
```
    - length
```
double[] length
```
    - projVector
```
Vector[] projVector
```
    - basis
```
java.util.List<E> basis
```
- Class com.numericalmethod.suanshu.vector.doubles.operation.VectorSpace extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3992718134827930831L
  - Serialized Fields
    - basis
```
java.util.List<E> basis
```
    - complement
```
java.util.List<E> complement
```
    - rank
```
int rank
```
    - epsilon
```
double epsilon
```

Serialized Form

Package com.numericalmethod.suanshu.algorithm.bb

Class com.numericalmethod.suanshu.algorithm.bb.BranchAndBound extends java.lang.Object implements Serializable

Serialized Fields

activeList

incumbent

upper

Package com.numericalmethod.suanshu.algorithm.iterative

Package com.numericalmethod.suanshu.algorithm.iterative.monitor

Class com.numericalmethod.suanshu.algorithm.iterative.monitor.CountMonitor extends java.lang.Object implements Serializable

Serialized Fields

count

Class com.numericalmethod.suanshu.algorithm.iterative.monitor.IteratesMonitor extends java.lang.Object implements Serializable

Serialized Fields

iterates

Class com.numericalmethod.suanshu.algorithm.iterative.monitor.NullMonitor extends java.lang.Object implements Serializable

Class com.numericalmethod.suanshu.algorithm.iterative.monitor.VectorMonitor extends IteratesMonitor<Vector> implements Serializable

Package com.numericalmethod.suanshu.algorithm.iterative.tolerance

Class com.numericalmethod.suanshu.algorithm.iterative.tolerance.AbsoluteTolerance extends java.lang.Object implements Serializable

Serialized Fields

tolerance

Class com.numericalmethod.suanshu.algorithm.iterative.tolerance.RelativeTolerance extends java.lang.Object implements Serializable

Serialized Fields

base

tolerance

Package com.numericalmethod.suanshu.analysis.differentiation

Class com.numericalmethod.suanshu.analysis.differentiation.Ridders extends java.lang.Object implements Serializable

Serialized Fields

dfh

neville

f

order

rate

discretization

Package com.numericalmethod.suanshu.analysis.differentiation.multivariate

Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.BorderedHessian extends SymmetricMatrix implements Serializable

Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.FiniteDifference extends java.lang.Object implements Serializable

Serialized Fields

f

varidx

Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.Gradient extends DenseVector implements Serializable

Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.GradientFunction extends java.lang.Object implements Serializable

Serialized Fields

f

Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.Hessian extends SymmetricMatrix implements Serializable

Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.HessianFunction extends java.lang.Object implements Serializable

Serialized Fields

f

Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.Jacobian extends DenseMatrix implements Serializable

Class com.numericalmethod.suanshu.analysis.differentiation.multivariate.JacobianFunction extends java.lang.Object implements Serializable

Serialized Fields

f

Package com.numericalmethod.suanshu.analysis.differentiation.univariate

Class com.numericalmethod.suanshu.analysis.differentiation.univariate.DBeta extends BivariateRealFunction implements Serializable

Class com.numericalmethod.suanshu.analysis.differentiation.univariate.DBetaRegularized extends UnivariateRealFunction implements Serializable

Serialized Fields

p

q

Class com.numericalmethod.suanshu.analysis.differentiation.univariate.DErf extends UnivariateRealFunction implements Serializable

Class com.numericalmethod.suanshu.analysis.differentiation.univariate.Dfdx extends UnivariateRealFunction implements Serializable

Serialized Fields

dfdx

Class com.numericalmethod.suanshu.analysis.differentiation.univariate.DGamma extends UnivariateRealFunction implements Serializable

Class com.numericalmethod.suanshu.analysis.differentiation.univariate.DGaussian extends UnivariateRealFunction implements Serializable

Serialized Fields

phi

Class com.numericalmethod.suanshu.analysis.differentiation.univariate.DPolynomial extends Polynomial implements Serializable

Class com.numericalmethod.suanshu.analysis.differentiation.univariate.FiniteDifference extends UnivariateRealFunction implements Serializable

Serialized Fields

f

order

type

temp

Package com.numericalmethod.suanshu.analysis.function

Class com.numericalmethod.suanshu.analysis.function.Function.EvaluationException extends java.lang.RuntimeException implements Serializable

Class com.numericalmethod.suanshu.analysis.function.SubFunction extends java.lang.Object implements Serializable

Serialized Fields

f

fixing

Package com.numericalmethod.suanshu.analysis.function.matrix