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#Org.ejml.interfaces.decomposition Classes and Interfaces - 10 results found.
NameDescriptionTypePackageFramework
BidiagonalDecomposition Computes a matrix decomposition such that: 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.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )
CholeskyDecomposition Cholesky decomposition for DenseMatrix64F.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )
CholeskyLDLDecomposition Cholesky LDLT decomposition for DenseMatrix64F.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )
DecompositionInterface An interface for performing matrix decompositions on a DenseMatrix64F.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )
EigenDecomposition This is a generic interface for computing the eigenvalues and eigenvectors of a matrix.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )
LUDecomposition LU Decomposition refactors the original matrix such that: where P is a pivot matrix, L is a lower triangular matrix, U is an upper triangular matrix and A isInterfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )
QRDecomposition QR decompositions decompose a rectangular matrix 'A' such that 'A=QR'.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )
QRPDecomposition Similar to QRDecomposition but it can handle the rank deficient case by performing column pivots during the decomposition.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )
SingularValueDecomposition This is an abstract class for computing the singular value decomposition (SVD) of a matrix, which is defined where A is m by n, and U and V are orthogonal matrices, and W is a diagonal matrix.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )
TridiagonalSimilarDecomposition Finds the decomposition of a matrix in the form of: where A is a symmetric m by m matrix, O is an orthogonal matrix, and T is a tridiagonal matrix.Interfaceorg.ejml.interfaces.decompositionEjml ( Efficient Java Matrix Library )