Examples of org.apache.commons.math.linear.RealMatrix.walkInOptimizedOrder()

Class org.apache.commons.math.linear.RealMatrix

Examples of org.apache.commons.math.linear.RealMatrix.walkInOptimizedOrder()

org.apache.commons.math.linear.RealMatrix.walkInOptimizedOrder()
Visit (and possibly change) all matrix entries using the fastest possible order.
The fastest walking order depends on the exact matrix class. It may be different from traditional row or column orders.
@param visitor visitor used to process all matrix entries @exception MatrixVisitorException if the visitor cannot process an entry @see #walkInRowOrder(RealMatrixChangingVisitor) @see #walkInRowOrder(RealMatrixPreservingVisitor) @see #walkInRowOrder(RealMatrixChangingVisitor,int,int,int,int) @see #walkInRowOrder(RealMatrixPreservingVisitor,int,int,int,int) @see #walkInColumnOrder(RealMatrixChangingVisitor) @see #walkInColumnOrder(RealMatrixPreservingVisitor) @see #walkInColumnOrder(RealMatrixChangingVisitor,int,int,int,int) @see #walkInColumnOrder(RealMatrixPreservingVisitor,int,int,int,int) @see #walkInOptimizedOrder(RealMatrixPreservingVisitor) @see #walkInOptimizedOrder(RealMatrixChangingVisitor,int,int,int,int) @see #walkInOptimizedOrder(RealMatrixPreservingVisitor,int,int,int,int) @return the value returned by {@link RealMatrixChangingVisitor#end()} at the endof the walk

                               1e-14);
        RealMatrix errors =
            new Array2DRowRealMatrix(regression.estimateRegressionParametersVariance(), false);
        final double[] s = { 1.0, -1.0 /  2.0, -1.0 /  3.0, -1.0 /  4.0, -1.0 /  5.0, -1.0 /  6.0 };
        RealMatrix referenceVariance = new Array2DRowRealMatrix(s.length, s.length);
        referenceVariance.walkInOptimizedOrder(new DefaultRealMatrixChangingVisitor() {
            @Override
            public double visit(int row, int column, double value)
                throws MatrixVisitorException {
                if (row == 0) {
                    return s[column];

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                               1e-14);
        RealMatrix errors =
            new Array2DRowRealMatrix(regression.estimateRegressionParametersVariance(), false);
        final double[] s = { 1.0, -1.0 /  2.0, -1.0 /  3.0, -1.0 /  4.0, -1.0 /  5.0, -1.0 /  6.0 };
        RealMatrix referenceVariance = new Array2DRowRealMatrix(s.length, s.length);
        referenceVariance.walkInOptimizedOrder(new DefaultRealMatrixChangingVisitor() {
            @Override
            public double visit(int row, int column, double value) {
                if (row == 0) {
                    return s[column];
                }

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    }


    private RealMatrix createTestMatrix(final Random r, final int rows, final int columns) {
        RealMatrix m = MatrixUtils.createRealMatrix(rows, columns);
        m.walkInOptimizedOrder(new DefaultRealMatrixChangingVisitor(){
            @Override
            public double visit(int row, int column, double value)
                throws MatrixVisitorException {
                return 2.0 * r.nextDouble() - 1.0;
            }

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        RealMatrix   xRef = createTestMatrix(r, q, BlockRealMatrix.BLOCK_SIZE + 3);


        // build a perturbed system: A.X + noise = B
        RealMatrix b = a.multiply(xRef);
        final double noise = 0.001;
        b.walkInOptimizedOrder(new DefaultRealMatrixChangingVisitor() {
            @Override
            public double visit(int row, int column, double value) {
                return value * (1.0 + noise * (2 * r.nextDouble() - 1));
            }
        });

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                               1e-14);
        RealMatrix errors =
            new Array2DRowRealMatrix(regression.estimateRegressionParametersVariance(), false);
        final double[] s = { 1.0, -1.0 /  2.0, -1.0 /  3.0, -1.0 /  4.0, -1.0 /  5.0, -1.0 /  6.0 };
        RealMatrix referenceVariance = new Array2DRowRealMatrix(s.length, s.length);
        referenceVariance.walkInOptimizedOrder(new DefaultRealMatrixChangingVisitor() {
            @Override
            public double visit(int row, int column, double value)
                throws MatrixVisitorException {
                if (row == 0) {
                    return s[column];

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    }


    private RealMatrix createTestMatrix(final Random r, final int rows, final int columns) {
        RealMatrix m = MatrixUtils.createRealMatrix(rows, columns);
        m.walkInOptimizedOrder(new DefaultRealMatrixChangingVisitor(){
            @Override
            public double visit(int row, int column, double value)
                throws MatrixVisitorException {
                return 2.0 * r.nextDouble() - 1.0;
            }

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