Examples of QRDecompositionHouseholderTran

org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran

Householder QR decomposition is rich in operations along the columns of the matrix. This can be taken advantage of by solving for the Q matrix in a column major format to reduce the number of CPU cache misses and the number of copies that are performed.
@see QRDecompositionHouseholder @author Peter Abeles

Examples of org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran

    @Test
    public void decomposeQR_block_col() {
        DenseMatrix64F A = RandomMatrices.createRandom(r*2+r-1,r,-1,1,rand);
        BlockMatrix64F Ab = BlockMatrixOps.convert(A,r);


        QRDecompositionHouseholderTran algTest = new QRDecompositionHouseholderTran();
        assertTrue(algTest.decompose(A));


        double gammas[] = new double[A.numCols];
        BlockHouseHolder.decomposeQR_block_col(r,new D1Submatrix64F(Ab),gammas);


        DenseMatrix64F expected = CommonOps.transpose(algTest.getQR(),null);


        assertTrue(GenericMatrixOps.isEquivalent(expected,Ab,1e-8));
    }

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Examples of org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran


    private void checkSize( int numRows , int numCols ) {
        DenseMatrix64F A = RandomMatrices.createRandom(numRows,numCols,-1,1,rand);
        BlockMatrix64F Ab = BlockMatrixOps.convert(A,r);


        QRDecompositionHouseholderTran algCheck = new QRDecompositionHouseholderTran();
        assertTrue(algCheck.decompose(A));


        assertTrue(alg.decompose(Ab));


        DenseMatrix64F expected = CommonOps.transpose(algCheck.getQR(),null);
//        expected.print();
//        Ab.print();


        EjmlUnitTests.assertEquals(expected,Ab,1e-8);
    }

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Examples of org.ejml.alg.dense.decomposition.qr.QRDecompositionHouseholderTran


    /**
     * Creates a linear solver that uses QR decomposition.
     */
    public LinearSolverQrHouseTran() {
        decomposer = new QRDecompositionHouseholderTran();
    }

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