Uses of Class
smile.math.matrix.EigenValueDecomposition

Packages that use EigenValueDecomposition

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 EigenValueDecomposition in smile.math

Methods in smile.math that return EigenValueDecomposition

Modifier and Type	Method and Description
static EigenValueDecomposition	Math.eigen(double[][] A) Returns the eigen value decomposition of a square matrix.
static EigenValueDecomposition	Math.eigen(double[][] A, boolean symmetric) Returns the eigen value decomposition of a square matrix.
static EigenValueDecomposition	Math.eigen(double[][] A, boolean symmetric, boolean onlyValues) Returns the eigen value decomposition of a square matrix.
static EigenValueDecomposition	Math.eigen(double[][] A, int k) Find k largest approximate eigen pairs of a symmetric matrix by an iterative Lanczos algorithm.

Uses of EigenValueDecomposition in smile.math.matrix

Methods in smile.math.matrix that return EigenValueDecomposition

Modifier and Type	Method and Description
static EigenValueDecomposition	EigenValueDecomposition.decompose(double[][] A) Full eigen value decomposition of a square matrix.
static EigenValueDecomposition	EigenValueDecomposition.decompose(double[][] A, boolean symmetric) Full eigen value decomposition of a square matrix.
static EigenValueDecomposition	EigenValueDecomposition.decompose(double[][] A, boolean symmetric, boolean onlyValues) Full eigen value decomposition of a square matrix.
static EigenValueDecomposition	EigenValueDecomposition.decompose(IMatrix A, int k) Find k largest approximate eigen pairs of a symmetric matrix by the Lanczos algorithm.
static EigenValueDecomposition	EigenValueDecomposition.decompose(IMatrix A, int k, double kappa) Find k largest approximate eigen pairs of a symmetric matrix by the Lanczos algorithm.
EigenValueDecomposition	Matrix.eigen() Returns the eigen value decomposition.
EigenValueDecomposition	SparseMatrix.eigen(int k) Returns the k largest eigen pairs.
EigenValueDecomposition	Matrix.eigen(int k) Returns the k largest eigen pairs.
EigenValueDecomposition	BandMatrix.eigen(int k) Returns the k largest eigen pairs.