Uses of Interface
org.ejml.alg.dense.decomposition.DecompositionInterface

Packages that use DecompositionInterface

org.ejml.alg.block.decomposition.chol
org.ejml.alg.block.decomposition.hessenberg
org.ejml.alg.block.decomposition.qr
org.ejml.alg.dense.decomposition
org.ejml.alg.dense.decomposition.bidiagonal
org.ejml.alg.dense.decomposition.chol
org.ejml.alg.dense.decomposition.eig
org.ejml.alg.dense.decomposition.hessenberg
org.ejml.alg.dense.decomposition.lu
org.ejml.alg.dense.decomposition.qr
org.ejml.alg.dense.decomposition.svd

Uses of DecompositionInterface in org.ejml.alg.block.decomposition.chol

Classes in org.ejml.alg.block.decomposition.chol that implement DecompositionInterface

class

BlockCholeskyOuterForm Block Cholesky using outer product form.

Uses of DecompositionInterface in org.ejml.alg.block.decomposition.hessenberg

Classes in org.ejml.alg.block.decomposition.hessenberg that implement DecompositionInterface

class

TridiagonalDecompositionBlockHouseholder Tridiagonal similar decomposition for block matrices.

Uses of DecompositionInterface in org.ejml.alg.block.decomposition.qr

Classes in org.ejml.alg.block.decomposition.qr that implement DecompositionInterface

class

BlockMatrix64HouseholderQR QR decomposition for BlockMatrix64F using householder reflectors.

Uses of DecompositionInterface in org.ejml.alg.dense.decomposition

Subinterfaces of DecompositionInterface in org.ejml.alg.dense.decomposition

interface	CholeskyDecomposition<MatrixType extends Matrix64F> Cholesky decomposition for DenseMatrix64F.
interface	EigenDecomposition<MatrixType extends Matrix64F> This is a generic interface for computing the eigenvalues and eigenvectors of a matrix.
interface	LUDecomposition<T extends Matrix64F> LU Decomposition refactors the original matrix such that: PT*L*U = A where P is a pivot matrix, L is a lower triangular matrix, U is an upper triangular matrix and A is the original matrix.
interface	QRDecomposition<T extends Matrix64F> QR decompositions decompose a rectangular matrix 'A' such that 'A=QR'.
interface	QRPDecomposition<T extends Matrix64F> Similar to QRDecomposition but it can handle the rank deficient case by performing column pivots during the decomposition.
interface	SingularValueDecomposition<T extends Matrix64F> This is an abstract class for computing the singular value decomposition (SVD) of a matrix, which is defined as: A = U * W * V T where A is m by n, and U and V are orthogonal matrices, and W is a diagonal matrix.

Classes in org.ejml.alg.dense.decomposition that implement DecompositionInterface

class

BaseDecompositionBlock64 Generic interface for wrapping a BlockMatrix64F decomposition for processing of DenseMatrix64F.

Fields in org.ejml.alg.dense.decomposition declared as DecompositionInterface

protected DecompositionInterface<BlockMatrix64F>

BaseDecompositionBlock64.alg

Methods in org.ejml.alg.dense.decomposition with parameters of type DecompositionInterface

static <T extends Matrix64F> boolean

DecompositionFactory.decomposeSafe(DecompositionInterface<T> decomp, T M) Makes sure the decomposed matrix is not modified.

Constructors in org.ejml.alg.dense.decomposition with parameters of type DecompositionInterface

BaseDecompositionBlock64(DecompositionInterface<BlockMatrix64F> alg, int blockLength)

Uses of DecompositionInterface in org.ejml.alg.dense.decomposition.bidiagonal

Subinterfaces of DecompositionInterface in org.ejml.alg.dense.decomposition.bidiagonal

interface

BidiagonalDecomposition<T extends Matrix64F> Computes a matrix decomposition such that: A = U*B*VT where A is m by n, U is orthogonal and m by m, B is an m by n bidiagonal matrix, V is orthogonal and n by n.

Classes in org.ejml.alg.dense.decomposition.bidiagonal that implement DecompositionInterface

class	BidiagonalDecompositionRow Performs a BidiagonalDecomposition using householder reflectors.
class	BidiagonalDecompositionTall BidiagonalDecomposition specifically designed for tall matrices.

Uses of DecompositionInterface in org.ejml.alg.dense.decomposition.chol

Classes in org.ejml.alg.dense.decomposition.chol that implement DecompositionInterface

class	CholeskyDecompositionBlock This is an implementation of Cholesky that processes internal submatrices as blocks.
class	CholeskyDecompositionBlock64 Wrapper around BlockCholeskyOuterForm that allows it to process DenseMatrix64F.
class	CholeskyDecompositionCommon This is an abstract class for a Cholesky decomposition.
class	CholeskyDecompositionInner This implementation of a Cholesky decomposition using the inner-product form.
class	CholeskyDecompositionLDL This variant on the Cholesky decomposition avoid the need to take the square root by performing the following decomposition: L*D*LT=A where L is a lower triangular matrix with zeros on the diagonal.

Uses of DecompositionInterface in org.ejml.alg.dense.decomposition.eig

Classes in org.ejml.alg.dense.decomposition.eig that implement DecompositionInterface

class	SwitchingEigenDecomposition Checks to see what type of matrix is being decomposed and calls different eigenvalue decomposition algorithms depending on the results.
class	SymmetricQRAlgorithmDecomposition Computes the eigenvalues and eigenvectors of a real symmetric matrix using the symmetric implicit QR algorithm.
class	WatchedDoubleStepQRDecomposition Finds the eigenvalue decomposition of an arbitrary square matrix using the implicit double-step QR algorithm.

Uses of DecompositionInterface in org.ejml.alg.dense.decomposition.hessenberg

Subinterfaces of DecompositionInterface in org.ejml.alg.dense.decomposition.hessenberg

interface

TridiagonalSimilarDecomposition<MatrixType extends Matrix64F> Finds the decomposition of a matrix in the form of: A = O*T*OT where A is a symmetric m by m matrix, O is an orthogonal matrix, and T is a tridiagonal matrix.

Classes in org.ejml.alg.dense.decomposition.hessenberg that implement DecompositionInterface

class	HessenbergSimilarDecomposition Finds the decomposition of a matrix in the form of: A = OHOT where A is an m by m matrix, O is an orthogonal matrix, and H is an upper Hessenberg matrix.
class	TridiagonalDecompositionBlock Wrapper around a block implementation of TridiagonalSimilarDecomposition
class	TridiagonalDecompositionHouseholder Performs a similar tridiagonal decomposition on a square symmetric input matrix.

Uses of DecompositionInterface in org.ejml.alg.dense.decomposition.lu

Classes in org.ejml.alg.dense.decomposition.lu that implement DecompositionInterface

class	LUDecompositionAlt An LU decomposition algorithm that originally came from Jama.
class	LUDecompositionBase Contains common data structures and operations for LU decomposition algorithms.
class	LUDecompositionNR This code is inspired from what's in numerical recipes.

Uses of DecompositionInterface in org.ejml.alg.dense.decomposition.qr

Classes in org.ejml.alg.dense.decomposition.qr that implement DecompositionInterface

class	QRColPivDecompositionHouseholderColumn Performs QR decomposition with column pivoting.
class	QRDecompositionBlock64 Wrapper that allows QRDecomposition(BlockMatrix64F) to be used as a QRDecomposition(DenseMatrix64F).
class	QRDecompositionHouseholder This variation of QR decomposition uses reflections to compute the Q matrix.
class	QRDecompositionHouseholderColumn Householder QR decomposition is rich in operations along the columns of the matrix.
class	QRDecompositionHouseholderTran Householder QR decomposition is rich in operations along the columns of the matrix.

Uses of DecompositionInterface in org.ejml.alg.dense.decomposition.svd

Classes in org.ejml.alg.dense.decomposition.svd that implement DecompositionInterface

class

SvdImplicitQrDecompose Computes the Singular value decomposition of a matrix using the implicit QR algorithm for singular value decomposition.