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#Org.ejml.alg.dense.decomposition Classes and Interfaces - 36 results found.
NameDescriptionTypePackageFramework
BidiagonalDecompositionTall_D64 BidiagonalDecomposition specifically designed for tall matrices.Classorg.ejml.alg.dense.decomposition.bidiagonalEjml ( Efficient Java Matrix Library )
BidiagonalDecompositionRow_D64 Performs a BidiagonalDecomposition using householder reflectors.Classorg.ejml.alg.dense.decomposition.bidiagonalEjml ( Efficient Java Matrix Library )
BaseDecomposition_B64_to_D64Generic interface for wrapping a BlockMatrix64F decomposition for processing of DenseMatrix64F.Classorg.ejml.alg.dense.decompositionEjml ( Efficient Java Matrix Library )
CholeskyDecomposition_B64_to_D64Wrapper around CholeskyOuterForm_B64 that allows it to process DenseMatrix64F.Classorg.ejml.alg.dense.decomposition.cholEjml ( Efficient Java Matrix Library )
CholeskyDecompositionBlock_D64This is an implementation of Cholesky that processes internal submatrices as blocks.Classorg.ejml.alg.dense.decomposition.cholEjml ( Efficient Java Matrix Library )
CholeskyDecompositionCommon_D64 This is an abstract class for a Cholesky decomposition.Classorg.ejml.alg.dense.decomposition.cholEjml ( Efficient Java Matrix Library )
CholeskyDecompositionInner_D64 This implementation of a Cholesky decomposition using the inner-product form.Classorg.ejml.alg.dense.decomposition.cholEjml ( Efficient Java Matrix Library )
CholeskyDecompositionLDL_D64 This variant on the Cholesky decomposition avoid the need to take the square root by performing the following decomposition:Classorg.ejml.alg.dense.decomposition.cholEjml ( Efficient Java Matrix Library )
EigenPowerMethod The power method is an iterative method that can be used to find dominant eigen vector in a matrix.Classorg.ejml.alg.dense.decomposition.eigEjml ( Efficient Java Matrix Library )
EigenvalueExtractorInterfaceorg.ejml.alg.dense.decomposition.eigEjml ( Efficient Java Matrix Library )
EigenvalueSmallClassorg.ejml.alg.dense.decomposition.eigEjml ( Efficient Java Matrix Library )
HessenbergSimilarDecomposition_D64 Finds the decomposition of a matrix in the form of: where A is an m by m matrix, O is an orthogonal matrix, and H is an upper Hessenberg matrix.Classorg.ejml.alg.dense.decomposition.hessenbergEjml ( Efficient Java Matrix Library )
LUDecompositionAlt_D64 An LU decomposition algorithm that originally came from Jama.Classorg.ejml.alg.dense.decomposition.luEjml ( Efficient Java Matrix Library )
LUDecompositionBase_D64 Contains common data structures and operations for LU decomposition algorithms.Classorg.ejml.alg.dense.decomposition.luEjml ( Efficient Java Matrix Library )
QRColPivDecompositionHouseholderColumn_D64 Performs QR decomposition with column pivoting.Classorg.ejml.alg.dense.decomposition.qrEjml ( Efficient Java Matrix Library )
QRDecomposition_B64_to_D64Wrapper that allows QRDecomposition(BlockMatrix64F) to be used as a QRDecomposition(DenseMatrix64F).Classorg.ejml.alg.dense.decomposition.qrEjml ( Efficient Java Matrix Library )
QRDecompositionHouseholder_D64 This variation of QR decomposition uses reflections to compute the Q matrix.Classorg.ejml.alg.dense.decomposition.qrEjml ( Efficient Java Matrix Library )
QRDecompositionHouseholderColumn_D64 Householder QR decomposition is rich in operations along the columns of the matrix.Classorg.ejml.alg.dense.decomposition.qrEjml ( Efficient Java Matrix Library )
QRDecompositionHouseholderTran_D64 Householder QR decomposition is rich in operations along the columns of the matrix.Classorg.ejml.alg.dense.decomposition.qrEjml ( Efficient Java Matrix Library )
QrHelperFunctions_D64 Contains different functions that are useful for computing the QR decomposition of a matrix.Classorg.ejml.alg.dense.decomposition.qrEjml ( Efficient Java Matrix Library )
QrUpdate The effects of adding and removing rows from the A matrix in a QR decomposition can be computed much faster than simply recomputing the whole decomposition.Classorg.ejml.alg.dense.decomposition.qrEjml ( Efficient Java Matrix Library )
SafeSvdWraps around a SingularValueDecomposition and ensures that the input is not modified.Classorg.ejml.alg.dense.decomposition.svdEjml ( Efficient Java Matrix Library )
SvdImplicitQrAlgorithm Computes the QR decomposition of a bidiagonal matrix.Classorg.ejml.alg.dense.decomposition.svd.implicitqrEjml ( Efficient Java Matrix Library )
SvdImplicitQrDecompose_D64 Computes the Singular value decomposition of a matrix using the implicit QR algorithm for singular value decomposition.Classorg.ejml.alg.dense.decomposition.svdEjml ( Efficient Java Matrix Library )
SwitchingEigenDecompositionChecks to see what type of matrix is being decomposed and calls different eigenvalue decomposition algorithms depending on the results.Classorg.ejml.alg.dense.decomposition.eigEjml ( Efficient Java Matrix Library )
SymmetricQrAlgorithm Computes the eigenvalues and eigenvectors of a symmetric tridiagonal matrix using the symmetric QR algorithm.Classorg.ejml.alg.dense.decomposition.eig.symmEjml ( Efficient Java Matrix Library )
SymmetricQRAlgorithmDecomposition_D64 Computes the eigenvalues and eigenvectors of a real symmetric matrix using the symmetric implicit QR algorithm.Classorg.ejml.alg.dense.decomposition.eigEjml ( Efficient Java Matrix Library )
SymmetricQREigenHelperA helper class for the symmetric matrix implicit QR algorithm for eigenvalue decomposition.Classorg.ejml.alg.dense.decomposition.eig.symmEjml ( Efficient Java Matrix Library )
TriangularSolver This contains algorithms for solving systems of equations where T is a non-singular triangular matrix:Classorg.ejml.alg.dense.decompositionEjml ( Efficient Java Matrix Library )
TridiagonalDecomposition_B64_to_D64Classorg.ejml.alg.dense.decomposition.hessenbergEjml ( Efficient Java Matrix Library )
TridiagonalDecompositionHouseholder_D64 Performs a similar tridiagonal decomposition on a square symmetric input matrix.Classorg.ejml.alg.dense.decomposition.hessenbergEjml ( Efficient Java Matrix Library )
TridiagonalDecompositionHouseholderOrig_D64 A straight forward implementation from "Fundamentals of Matrix Computations," Second Edition.Classorg.ejml.alg.dense.decomposition.hessenbergEjml ( Efficient Java Matrix Library )
WatchedDoubleStepQRDecomposition_D64 Finds the eigenvalue decomposition of an arbitrary square matrix using the implicit double-step QR algorithm.Classorg.ejml.alg.dense.decomposition.eigEjml ( Efficient Java Matrix Library )
WatchedDoubleStepQREigen The double step implicit Eigenvalue decomposition algorithm is fairly complicated and needs to be designed so that it can handle several special cases.Classorg.ejml.alg.dense.decomposition.eig.watchedEjml ( Efficient Java Matrix Library )
WatchedDoubleStepQREigenvalueClassorg.ejml.alg.dense.decomposition.eig.watchedEjml ( Efficient Java Matrix Library )
WatchedDoubleStepQREigenvectorClassorg.ejml.alg.dense.decomposition.eig.watchedEjml ( Efficient Java Matrix Library )