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

U

U() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.diagonalization.Bidiagonalization

Get a copy of U, where U' = Uk %*% ... %*% U1 where k = A.nCols().

U() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination.GaussianElimination

Get a copy of the upper triangular matrix U, such that T %*% A == U P %*% A == L %*% U

U() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination.GaussianElimination4SquareMatrix

U() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination.GaussJordanElimination

Get the reduced row echelon form matrix, such that T %*% A == U

U() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.svd.GloubKahanSVD

U() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVD

U() - Method in interface com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVDDecomposition

Get a copy of U as in U' %*% A %*% V = D U %*% D %*% V' = A

U() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.Doolittle

U() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LU

U() - Method in interface com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.LUDecomposition

Get a copy of the upper triangular matrix U as in P %*% A == L %*% U

U - Variable in class com.numericalmethod.suanshu.matrix.doubles.linearsystem.BackwardSubstitution

the system of linear equations (the homogeneous part)

U() - Method in class com.numericalmethod.suanshu.matrix.doubles.linearsystem.Kernel

Get the upper triangular matrix U, such that T %*% A == U

U - Variable in class com.numericalmethod.suanshu.matrix.doubles.linearsystem.LU

matrix U as in LUx = PAx = Pb

ul - Variable in class com.numericalmethod.suanshu.matrix.doubles.factorization.eigen.Hessenberg.Deflation

H22, unreduced Hessenberg, in Algorithm 7.5.2 has dimension (lr-ul+1) x (lr-ul+1).

unbiased - Variable in class com.numericalmethod.suanshu.stats.descriptive.moment.Variance

indicate whether the variance calculation is unbiased or not; true iff unbiased

UnconstrainedMaximizer - Class in com.numericalmethod.suanshu.optimization.unconstrained

A maximization problem is simply minimizing the negative of the objective function.

UnconstrainedMaximizer(UnconstrainedMinimizer) - Constructor for class com.numericalmethod.suanshu.optimization.unconstrained.UnconstrainedMaximizer

Construct an instance of UnconstrainedMaximizer to maximize an objective function.

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

Construct an instance of UnconstrainedMaximizer to maximize an objective function.

UnconstrainedMinimizer - Interface in com.numericalmethod.suanshu.optimization.unconstrained

UnconstrainedProblem - Class in com.numericalmethod.suanshu.optimization.unconstrained

This class defines an unconstrained optimization problem in this form.

UnconstrainedProblem(RealScalarFunction) - Constructor for class com.numericalmethod.suanshu.optimization.unconstrained.UnconstrainedProblem

Construct an unconstrained optimization problem.

UNDEFINED - Static variable in class com.numericalmethod.suanshu.optimization.constrained.linearprogramming.simplex.Tableau

Uniform - Class in com.numericalmethod.suanshu.stats.random.distribution

A pseudo uniform random number generator generates numbers within the unit interval in such a way that there are equal probabilities of them falling in the same length sub-interval.

Uniform(Uniform.Method) - Constructor for class com.numericalmethod.suanshu.stats.random.distribution.Uniform

Construct a pseudo uniform random number generator.

Uniform() - Constructor for class com.numericalmethod.suanshu.stats.random.distribution.Uniform

Construct a Mersenne Twister pseudo uniform random number generator.

Uniform.Method - Enum in com.numericalmethod.suanshu.stats.random.distribution

the different pseudo uniform random number generators available

Uniroot - Class in com.numericalmethod.suanshu.analysis.uniroot

One dimensional root (zero) finding algorithm for univariate function.

Uniroot(UnivariateRealFunction, double) - Constructor for class com.numericalmethod.suanshu.analysis.uniroot.Uniroot

Construct a uniroot solver.

Uniroot.NoRootFoundException - Exception in com.numericalmethod.suanshu.analysis.uniroot

Exception thrown when it fails to find a root.

Uniroot.NoRootFoundException(double, double) - Constructor for exception com.numericalmethod.suanshu.analysis.uniroot.Uniroot.NoRootFoundException

Construct a NoRootFoundException instance.

UnitGrid - Class in com.numericalmethod.suanshu.stats.stochasticprocess.timepoints

This class represents the discrete time points [0, 1, ......, N] for a stochastic process.

UnitGrid(int) - Constructor for class com.numericalmethod.suanshu.stats.stochasticprocess.timepoints.UnitGrid

Construct a time grid with time interval 1 between any two successive time points.

UnivariateDistribution - Interface in com.numericalmethod.suanshu.stats.distribution.univariate

A univariate distribution completely characterizes a random variable by stipulating the probability of each value of a random variable (when the variable is discrete), or the probability of the value falling within a particular interval (when the variable is continuous).

UnivariateRealFunction - Class in com.numericalmethod.suanshu.analysis.function.rn2r1

This abstract class represents a univariate real function.

UnivariateRealFunction() - Constructor for class com.numericalmethod.suanshu.analysis.function.rn2r1.UnivariateRealFunction

UnivariateRealInterpolator - Interface in com.numericalmethod.suanshu.analysis.interpolation

Interpolation is a method of constructing new data points within the range of a discrete set of known data points.

updateResidualNorm(double) - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.AbsoluteTolerance

updateResidualNorm(double) - Method in class com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.RelativeTolerance

updateResidualNorm(double) - Method in interface com.numericalmethod.suanshu.matrix.doubles.matrixtype.sparse.solver.iterative.Tolerance

Check if the updated residual satisfies the tolerance criteria.

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

Check if a matrix is upper bidiagonal.

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

Check if a matrix is upper triangular.

UpperTriangularMatrix - Class in com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle

This class implements upper triangular matrix, which has 0 entries whenever row index > column index.

UpperTriangularMatrix(int) - Constructor for class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.UpperTriangularMatrix

Construct an upper triangular matrix of dimension dim * dim.

UpperTriangularMatrix(double[][]) - Constructor for class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.UpperTriangularMatrix

Construct an upper triangular matrix from a 2D double[][] array.

UpperTriangularMatrix(Matrix) - Constructor for class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.UpperTriangularMatrix

Copy constructor performing a deep copy of a matrix.

UpperTriangularMatrix(UpperTriangularMatrix) - Constructor for class com.numericalmethod.suanshu.matrix.doubles.matrixtype.dense.triangle.UpperTriangularMatrix

Copy constructor performing a deep copy.

usePivoting - Variable in class com.numericalmethod.suanshu.matrix.doubles.factorization.gaussianelimination.GaussJordanElimination

true if partial pivoting is wanted, e.g., for numerical stability

usePivoting - Variable in class com.numericalmethod.suanshu.matrix.doubles.factorization.triangle.Doolittle

true if partial pivoting is wanted, e.g., for numerical stability

Ut() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.svd.GloubKahanSVD

Ut() - Method in class com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVD

Ut() - Method in interface com.numericalmethod.suanshu.matrix.doubles.factorization.svd.SVDDecomposition

Get a copy of U.t() as in U.t() %*% A %*% V = D U %*% D %*% V' = A

Util - Class in com.numericalmethod.suanshu.stats.timeseries.univariate

This class collects the utility functions applied to univariate TimeSeries.

Util() - Constructor for class com.numericalmethod.suanshu.stats.timeseries.univariate.Util