Uses of Interface
org.ojalgo.matrix.decomposition.MatrixDecomposition.Ordered

Packages that use MatrixDecomposition.Ordered

Package	Description
org.ojalgo.matrix.decomposition

Uses of MatrixDecomposition.Ordered in org.ojalgo.matrix.decomposition

Subinterfaces of MatrixDecomposition.Ordered in org.ojalgo.matrix.decomposition

Modifier and Type	Interface	Description
interface	Cholesky<N extends java.lang.Comparable<N>>	Cholesky: [A] = [L][L]H (or [R]H[R])
interface	Eigenvalue<N extends java.lang.Comparable<N>>	[A] = [V][D][V]-1 ([A][V] = [V][D]) [A] = any square matrix. [V] = contains the eigenvectors as columns. [D] = a diagonal matrix with the eigenvalues on the diagonal (possibly in blocks).
static interface	Eigenvalue.Generalised<N extends java.lang.Comparable<N>>
static interface	Eigenvalue.Spectral<N extends java.lang.Comparable<N>>	“Spectral decomposition” refers specifically to the orthogonal/unitary eigen-decomposition of a normal matrix (most commonly Hermitian / symmetric).
interface	LDL<N extends java.lang.Comparable<N>>	LDL: [A] = [L][D][L]H (or [R]H[D][R])
interface	LDU<N extends java.lang.Comparable<N>>	LDU: [A] = [L][D][U] ( [PL][L][D][U][PU] )
interface	LU<N extends java.lang.Comparable<N>>	LU: [A] = [L][U]
static interface	MatrixDecomposition.RankRevealing<N extends java.lang.Comparable<N>>	A rank-revealing matrix decomposition of a matrix [A] is a decomposition that is, or can be transformed to be, on the form [A]=[X][D][Y]T where: [X] and [Y] are square and well conditioned. [D] is diagonal with nonnegative and non-increasing values on the diagonal.
static interface	MatrixDecomposition.Values<N extends java.lang.Comparable<N>>	Eigenvalue and Singular Value decompositions can calculate the "values" only.
interface	QR<N extends java.lang.Comparable<N>>	QR: [A] = [Q][R] Decomposes [this] into [Q] and [R] where: [Q] is an orthogonal matrix (orthonormal columns).
interface	SingularValue<N extends java.lang.Comparable<N>>	Singular Value: [A] = [U][S][V]T Decomposes [this] into [U], [S] and [V] where: [U] is an orthogonal matrix.

Classes in org.ojalgo.matrix.decomposition that implement MatrixDecomposition.Ordered

Modifier and Type	Class	Description
(package private) class	DenseCholesky<N extends java.lang.Comparable<N>>
(package private) static class	DenseCholesky.C128
(package private) static class	DenseCholesky.H256
(package private) static class	DenseCholesky.Q128
(package private) static class	DenseCholesky.R064
(package private) static class	DenseCholesky.R128
(package private) class	DenseEigenvalue<N extends java.lang.Comparable<N>>
(package private) class	DenseLDL<N extends java.lang.Comparable<N>>
(package private) static class	DenseLDL.C128
(package private) static class	DenseLDL.H256
(package private) static class	DenseLDL.Q128
(package private) static class	DenseLDL.R064
(package private) static class	DenseLDL.R128
(package private) class	DenseLU<N extends java.lang.Comparable<N>>
(package private) static class	DenseLU.C128
(package private) static class	DenseLU.H256
(package private) static class	DenseLU.Q128
(package private) static class	DenseLU.R064
(package private) static class	DenseLU.R128
(package private) class	DenseQR<N extends java.lang.Comparable<N>>
(package private) static class	DenseQR.C128
(package private) static class	DenseQR.H256
(package private) static class	DenseQR.Q128
(package private) static class	DenseQR.R064
(package private) static class	DenseQR.R128
(package private) class	DenseSingularValue<N extends java.lang.Comparable<N>>
(package private) static class	DenseSingularValue.C128
(package private) static class	DenseSingularValue.H256
(package private) static class	DenseSingularValue.Q128
(package private) static class	DenseSingularValue.R064
(package private) static class	DenseSingularValue.R128
(package private) class	DynamicEvD<N extends java.lang.Comparable<N>>
(package private) static class	DynamicEvD.R064
(package private) class	GeneralEvD<N extends java.lang.Comparable<N>>
(package private) static class	GeneralEvD.R064	Eigenvalues and eigenvectors of a real matrix.
(package private) class	GeneralisedEvD<N extends java.lang.Comparable<N>>
(package private) class	HermitianEvD<N extends java.lang.Comparable<N>>	Eigenvalues and eigenvectors of a real matrix.
(package private) static class	HermitianEvD.C128
(package private) static class	HermitianEvD.H256
(package private) static class	HermitianEvD.Q128
(package private) static class	HermitianEvD.R064
(package private) static class	HermitianEvD.R128
(package private) class	RawCholesky
(package private) class	RawEigenvalue	Eigenvalues and eigenvectors of a real matrix.
(package private) static class	RawEigenvalue.Dynamic
(package private) static class	RawEigenvalue.General
(package private) static class	RawEigenvalue.Symmetric
(package private) class	RawLU
(package private) class	RawQR	For an m-by-n matrix A with m >= n, the QR decomposition is an m-by-n orthogonal matrix Q and an n-by-n upper triangular matrix R so that A = Q*R.
(package private) class	RawSingularValue	Singular Value Decomposition.
(package private) class	SparseLU	A sparse, primitive double based, LU decomposition with support for incremental Forrest-Tomlin updates.