Examples of org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionBlockHouseholder

org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionBlockHouseholder

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.

@author Peter Abeles

    public TridiagonalDecompositionBlock() {
        this(EjmlParameters.BLOCK_WIDTH);
    }


    public TridiagonalDecompositionBlock( int blockSize ) {
        super(new TridiagonalDecompositionBlockHouseholder(),blockSize);
    }

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Related Classes of org.ejml.alg.block.decomposition.hessenberg.TridiagonalDecompositionBlockHouseholder

org.ejml.alg.dense.decomposition.hessenberg.TridiagonalDecompositionBlock

org.ejml.data.BlockMatrix64F

org.ejml.data.D1Submatrix64F

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