Class TridiagonalDecompositionHouseholder_MT_DDRB

java.lang.Object
org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_MT_DDRB
All Implemented Interfaces:
DecompositionInterface<DMatrixRBlock>, TridiagonalSimilarDecomposition<DMatrixRBlock>, TridiagonalSimilarDecomposition_F64<DMatrixRBlock>

@Generated("org.ejml.dense.block.decomposition.hessenberg.TridiagonalDecompositionHouseholder_DDRB") public class TridiagonalDecompositionHouseholder_MT_DDRB extends Object implements TridiagonalSimilarDecomposition_F64<DMatrixRBlock>

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.