Examples of mikera.matrixx.decompose.impl.eigen.SymmetricQRAlgorithmDecomposition

Package mikera.matrixx.decompose.impl.eigen

Examples of mikera.matrixx.decompose.impl.eigen.SymmetricQRAlgorithmDecomposition

mikera.matrixx.decompose.impl.eigen.SymmetricQRAlgorithmDecomposition

Computes the eigenvalues and eigenvectors of a real symmetric matrix using the symmetric implicit QR algorithm. Inside each iteration a QR decomposition of A_i-p_iI is implicitly computed.

This implementation is based on the algorithm is sketched out in:
David S. Watkins, "Fundamentals of Matrix Computations," Second Edition. page 377-385
@author Peter Abeles

     * @param A The input matrix. It must be a square symmetric matrix.
     * @param computeVectors Should it compute the eigenvectors or just eigenvalues.
     * @return an IEigenResult object that represents the solution to the decomposition.
     */
    public static IEigenResult decomposeSymmetric(AMatrix A, boolean computeVectors) {
        SymmetricQRAlgorithmDecomposition alg = new SymmetricQRAlgorithmDecomposition(computeVectors);
        return alg.decompose(A);
    }

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Related Classes of mikera.matrixx.decompose.impl.eigen.SymmetricQRAlgorithmDecomposition

mikera.matrixx.AMatrix

mikera.matrixx.decompose.Eigen

mikera.matrixx.decompose.impl.hessenberg.TridiagonalDecompositionHouseholder

mikera.vectorz.Vector2

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