Uses of Class
smile.math.matrix.SingularValueDecomposition

Packages that use SingularValueDecomposition

Package	Description
smile.math	Basic mathematical functions, complex, differentiable function interfaces, random number generators, unconstrained optimization, and raw data type (int and double) array lists, etc.
smile.math.matrix	Matrix interface, dense and sparse (band or irregular) matrix encapsulation classes, LU, QR, Cholesky, SVD and eigen decompositions, etc.

Uses of SingularValueDecomposition in smile.math

Methods in smile.math that return SingularValueDecomposition

Modifier and Type	Method and Description
static SingularValueDecomposition	Math.svd(double[][] A) Returns the singular value decomposition.

Uses of SingularValueDecomposition in smile.math.matrix

Methods in smile.math.matrix that return SingularValueDecomposition

Modifier and Type	Method and Description
static SingularValueDecomposition	SingularValueDecomposition.decompose(double[][] A) Returns the singular value decomposition.
static SingularValueDecomposition	SingularValueDecomposition.decompose(IMatrix A, int k) Find k largest approximate singular triples of a matrix by the Lanczos algorithm.
static SingularValueDecomposition	SingularValueDecomposition.decompose(IMatrix A, int k, double kappa) Find k largest approximate singular triples of a matrix by the Lanczos algorithm.
SingularValueDecomposition	Matrix.svd() Returns the singular value decomposition.