Documentation of 'org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_B64' Java class
TridiagonalDecompositionHouseholder_B64
org.ejml.alg.block.decomposition.hessenberg

Class TridiagonalDecompositionHouseholder_B64

  • All Implemented Interfaces:
    DecompositionInterface<BlockMatrix64F>, TridiagonalSimilarDecomposition<BlockMatrix64F>


    public class TridiagonalDecompositionHouseholder_B64
    extends java.lang.Object
    implements TridiagonalSimilarDecomposition<BlockMatrix64F>

    Tridiagonal similar decomposition for block matrices. Orthogonal matrices are computed using householder vectors.

    Based off algorithm in section 2 of J. J. Dongarra, D. C. Sorensen, S. J. Hammarling, "Block Reduction of Matrices to Condensed Forms for Eigenvalue Computations" Journal of Computations and Applied Mathematics 27 (1989) 215-227
    Computations of Householder reflectors has been modified from what is presented in that paper to how it is performed in "Fundamentals of Matrix Computations" 2nd ed. by David S. Watkins.

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