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#Org.ejml.alg.dense.decomposition.eig Classes and Interfaces - 11 results found.
NameDescriptionTypePackageFramework
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 )
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 )
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 )