A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Q

q - Variable in class com.numericalmethod.suanshu.analysis.differentiation.univariate.DBetaRegularized

the shape parameter

q - Variable in class com.numericalmethod.suanshu.analysis.function.special.BetaRegularized

the shape parameter q

q - Variable in class com.numericalmethod.suanshu.analysis.function.special.BetaRegularizedInverse

the shape parameter

Q() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.diagonalization.Tridiagonalization

Get a copy of the Q matrix, such that Q %*% A %*% Q = T Q is orthogonal.

Q() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Eigen

Q() - Method in interface com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.EigenDecomposition

Get a copy of Q as in Q %*% D %*% Q' = A Note that we only support real eigenvalues for now.

Q() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.HessenbergDecomposition

Get a copy of the Q matrix, where Q = Q1 %*% ... %*% Qn where n = dim - 2.

Q() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.QRAlgorithm

Get a copy of the Q matrix as in the real Schur canonical form Q'MQ = T We store all the Qi's produced in the process of the QR algorithm.

Q() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.qr.GramSchmidt

Q() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.qr.HouseholderReflection

Get a copy of the Q matrix in the QR decomposition.

Q() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QR

Q() - Method in interface com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QRDecomposition

Get a copy of the orthogonal Q matrix in the QR decomposition.

q - Variable in class com.numericalmethod.suanshu.stats.random.pseudorandom.linear.Lehmer

m / a

q() - Method in class com.numericalmethod.suanshu.stats.timeseries.linear.multivariate.stationaryprocess.arima.ArimaxModel

Get the number of MA terms.

q() - Method in class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.arima.ArimaxModel

Get the number of MA terms.

q() - Method in class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.stationaryprocess.garch.GarchModel

Get the number of ARCH terms.

QR - Class in com.numericalmethod.suanshu.matrix.doubles.factorization.qr

QR decomposition of a matrix.

QR(Matrix, QR.Method, double) - Constructor for class com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QR

Construct an instance of the QR decomposition.

QR(Matrix) - Constructor for class com.numericalmethod.suanshu.matrix.doubles.factorization.qr.QR

Construct an instance of the QR decomposition.

QR.Method - Enum in com.numericalmethod.suanshu.matrix.doubles.factorization.qr

the methods available to do the QR decomposition

QRAlgorithm - Class in com.numericalmethod.suanshu.matrix.doubles.factorization.eigen

The QR algorithm is an eigenvalue algorithm that computes the real Schur canonical form of a matrix.

QRAlgorithm(Matrix, int, double) - Constructor for class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.QRAlgorithm

Construct an instance of the QR algorithm.

QRAlgorithm(Matrix) - Constructor for class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.QRAlgorithm

Construct an instance of the QR algorithm.

QRDecomposition - Interface in com.numericalmethod.suanshu.matrix.doubles.factorization.qr

All QR algorithms implement this interface.

Qt() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Eigen

Qt() - Method in interface com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.EigenDecomposition

Get a copy of Q.t() as in Q %*% D %*% Q' = A Note that we only support real eigenvalues for now.

Quadratic - Class in com.numericalmethod.suanshu.analysis.function.polynomial.root

This is a quadratic equation solver.

Quadratic() - Constructor for class com.numericalmethod.suanshu.analysis.function.polynomial.root.Quadratic

Construct a Solver instance to solve quadratic equations.

QuadraticSyntheticDivision - Class in com.numericalmethod.suanshu.analysis.function.polynomial

Divide polynomial P(x) by the quadratic monomial (x2 + ux + v) and give the quotient Q(x) and the remainder (b * (x + u) + a).

QuadraticSyntheticDivision(Polynomial, double, double) - Constructor for class com.numericalmethod.suanshu.analysis.function.polynomial.QuadraticSyntheticDivision

Divide polynomial P(x) by the quadratic monomial (x2 + ux + v).

Quantile - Class in com.numericalmethod.suanshu.stats.descriptive.rank

Quantiles are points taken at regular intervals from the cumulative distribution function (CDF) of a random variable.

Quantile(double[], Quantile.Type) - Constructor for class com.numericalmethod.suanshu.stats.descriptive.rank.Quantile

Construct a Quantile instance.

Quantile(double[]) - Constructor for class com.numericalmethod.suanshu.stats.descriptive.rank.Quantile

Construct a Quantile instance using the default type: APPROXIMATELY_MEDIAN_UNBIASED.

quantile(double) - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.BetaDistribution

quantile(double) - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.ChiSquareDistribution

quantile(double) - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.EmpiricalDistribution

quantile(double) - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.ExponentialDistribution

quantile(double) - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.FDistribution

quantile(double) - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.GammaDistribution

quantile(double) - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.NormalDistribution

quantile(double) - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.RayleighDistribution

quantile(double) - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.TDistribution

quantile(double) - Method in interface com.numericalmethod.suanshu.stats.distribution.univariate.UnivariateDistribution

The inverse of the cumulative distribution function.

quantile(double) - Method in class com.numericalmethod.suanshu.stats.distribution.univariate.WeibullDistribution

quantile(double) - Method in class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovDistribution

Deprecated. Not supported yet.

quantile(double) - Method in class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovOneSidedDistribution

quantile(double) - Method in class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovTwoSamplesDistribution

Deprecated. Not supported yet.

quantile(double) - Method in class com.numericalmethod.suanshu.stats.test.distribution.normality.ShapiroWilkDistribution

Deprecated. Not supported yet.

quantile(double) - Method in class com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonRankSumDistribution

quantile(double) - Method in class com.numericalmethod.suanshu.stats.test.rank.wilcoxon.WilcoxonSignedRankDistribution

Quantile.Type - Enum in com.numericalmethod.suanshu.stats.descriptive.rank

the quantile definitions available For details, please refer to Sample quantiles in statistical packages by Hyndman, R.

Quartic - Class in com.numericalmethod.suanshu.analysis.function.polynomial.root

This is a quartic equation solver.

Quartic(Quartic.QuarticSolver) - Constructor for class com.numericalmethod.suanshu.analysis.function.polynomial.root.Quartic

Construct a quartic equation solver using a customized solver.

Quartic() - Constructor for class com.numericalmethod.suanshu.analysis.function.polynomial.root.Quartic

Construct a quartic equation solver.

Quartic.QuarticSolver - Interface in com.numericalmethod.suanshu.analysis.function.polynomial.root

This defines a quartic equation solver.

QuarticByFerrari - Class in com.numericalmethod.suanshu.analysis.function.polynomial.root

This solves the quartic equations by the Ferrari method.

QuarticByFerrari() - Constructor for class com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticByFerrari

QuarticByFormula - Class in com.numericalmethod.suanshu.analysis.function.polynomial.root

This solves the quartic equations by a root-finding formula.

QuarticByFormula() - Constructor for class com.numericalmethod.suanshu.analysis.function.polynomial.root.QuarticByFormula

quasiDeviance(double, double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Binomial

quasiDeviance(double, double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Gamma

quasiDeviance(double, double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Gaussian

quasiDeviance(double, double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.InverseGaussian

quasiDeviance(double, double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Poisson

quasiDeviance(double, double) - Method in interface com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiFamily

the quasi-deviance function corresponding to a single observation

QuasiFamily - Interface in com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family

This interface represents the quasi family of GLM.

quasiFamily - Variable in class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.QuasiGlmProblem

the quasi-quasiFamily distribution

QuasiGlmProblem - Class in com.numericalmethod.suanshu.stats.regression.linear.glm.quasi

This class represents a quasi Generalized Linear regression problem.

QuasiGlmProblem(DenseVector, Matrix, boolean, QuasiFamily) - Constructor for class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.QuasiGlmProblem

Construct a quasi GLM problem.

QuasiGlmProblem(LmProblem, QuasiFamily) - Constructor for class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.QuasiGlmProblem

Construct a quasi GLM problem from a linear regression problem.

quasiLikelihood(double, double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Binomial

quasiLikelihood(double, double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Gamma

quasiLikelihood(double, double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Gaussian

quasiLikelihood(double, double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.InverseGaussian

quasiLikelihood(double, double) - Method in class com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.Poisson

quasiLikelihood(double, double) - Method in interface com.numericalmethod.suanshu.stats.regression.linear.glm.quasi.family.QuasiFamily

the quasi-likelihood function corresponding to a single observation Q(μ; y)

QuasiMinimalResidualSolver - Class in com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary

The Quasi-Minimal Residual method (QMR) is useful for solving non-symmetric n-by-n linear systems.

QuasiMinimalResidualSolver() - Constructor for class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.QuasiMinimalResidualSolver

QuasiMinimalResidualSolver(int) - Constructor for class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.nonstationary.QuasiMinimalResidualSolver

The solver recomputes the residual as b - Axi once per this number of iterations

QuasiNewton - Class in com.numericalmethod.suanshu.optimization.unconstrained.quasinewton

The Quasi-Newton methods in optimization are for finding local maxima and minima of functions.

QuasiNewton() - Constructor for class com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.QuasiNewton

QuasiNewton.QuasiNewtonImpl - Class in com.numericalmethod.suanshu.optimization.unconstrained.quasinewton

An implementation of the Quasi-Newton algorithm.

QuasiNewton.QuasiNewtonImpl() - Constructor for class com.numericalmethod.suanshu.optimization.unconstrained.quasinewton.QuasiNewton.QuasiNewtonImpl

quasiTriangular(Matrix, double) - Static method in class com.numericalmethod.suanshu.matrix.doubles.IsMatrix

Check if a matrix is quasi (upper) triangular.

quotient() - Method in class com.numericalmethod.suanshu.analysis.function.polynomial.HornerScheme

Get the quotient, the value of P(x).

quotient() - Method in class com.numericalmethod.suanshu.analysis.function.polynomial.QuadraticSyntheticDivision

Get the quotient Q(x).