Package org.ejml.alg.dense.decomposition.eig

Examples of org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition

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     */
    public static EigenDecomposition<DenseMatrix64F> eig( int matrixSize , boolean computeVectors ,
                                                          boolean isSymmetric ) {
        if( isSymmetric ) {
            TridiagonalSimilarDecomposition<DenseMatrix64F> decomp = DecompositionFactory.tridiagonal(matrixSize);
            return new SymmetricQRAlgorithmDecomposition(decomp,computeVectors);
        } else
            return new WatchedDoubleStepQRDecomposition(computeVectors);
    }
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    }

    private static void runAlgorithms( DenseMatrix64F mat  )
    {
        TridiagonalSimilarDecomposition<DenseMatrix64F> decomp = DecompositionFactory.tridiagonal(0);
        System.out.println("qr ult           = "+ evaluate(new SymmetricQRAlgorithmDecomposition(decomp,true),mat));
    }
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    public static long symmTogether( DenseMatrix64F orig , int numTrials ) {

        long prev = System.currentTimeMillis();

        TridiagonalSimilarDecomposition<DenseMatrix64F> decomp =  DecompositionFactory.tridiagonal(orig.numRows);
        SymmetricQRAlgorithmDecomposition alg = new SymmetricQRAlgorithmDecomposition(decomp,true);

        alg.setComputeVectorsWithValues(true);

        for( long i = 0; i < numTrials; i++ ) {
            if( !DecompositionFactory.decomposeSafe(alg,orig) ) {
                throw new RuntimeException("Bad matrix");
            }
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    public static long symmSeparate( DenseMatrix64F orig , int numTrials ) {

        long prev = System.currentTimeMillis();

        TridiagonalSimilarDecomposition<DenseMatrix64F> decomp =  DecompositionFactory.tridiagonal(orig.numRows);
        SymmetricQRAlgorithmDecomposition alg = new SymmetricQRAlgorithmDecomposition(decomp,true);

        alg.setComputeVectorsWithValues(false);

        for( long i = 0; i < numTrials; i++ ) {
            if( !DecompositionFactory.decomposeSafe(alg,orig) ) {
                throw new RuntimeException("Bad matrix");
            }
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        return System.currentTimeMillis() - prev;
    }

    public static long standardTridiag( DenseMatrix64F orig , int numTrials ) {
        TridiagonalSimilarDecomposition<DenseMatrix64F> decomp = new TridiagonalDecompositionHouseholder();
        SymmetricQRAlgorithmDecomposition alg = new SymmetricQRAlgorithmDecomposition(decomp,true);

        long prev = System.currentTimeMillis();

        for( long i = 0; i < numTrials; i++ ) {
            if( !DecompositionFactory.decomposeSafe(alg,orig) ) {
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    }

    public static long blockTridiag( DenseMatrix64F orig , int numTrials ) {

        TridiagonalSimilarDecomposition<DenseMatrix64F> decomp = new TridiagonalDecompositionBlock();
        SymmetricQRAlgorithmDecomposition alg = new SymmetricQRAlgorithmDecomposition(decomp,true);

        long prev = System.currentTimeMillis();

        for( long i = 0; i < numTrials; i++ ) {
            if( !DecompositionFactory.decomposeSafe(alg,orig) ) {
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Related Classes of org.ejml.alg.dense.decomposition.eig.SymmetricQRAlgorithmDecomposition

  • org.ejml.alg.dense.decomposition.eig.symm.BenchmarkSymmetricEigenDecomposition
  • org.ejml.alg.dense.decomposition.eig.symm.StabilitySymmEigen
  • org.ejml.alg.dense.decomposition.eig.symm.SymmetricQrAlgorithm
  • org.ejml.alg.dense.decomposition.eig.symm.SymmetricQREigenHelper
  • org.ejml.data.Complex64F
  • org.ejml.factory.DecompositionFactory
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