Examples of PointValuePair

org.apache.commons.math3.optim.PointValuePair
This class holds a point and the value of an objective function at that point. @see PointVectorValuePair @see org.apache.commons.math3.analysis.MultivariateFunction @since 3.0
org.apache.commons.math3.optimization.PointValuePair
This class holds a point and the value of an objective function at that point. @see PointVectorValuePair @see org.apache.commons.math3.analysis.MultivariateFunction @deprecated As of 3.1 (to be removed in 4.0). @since 3.0

Examples of org.apache.commons.math3.optimization.PointValuePair

     */
    public void evaluate(final MultivariateFunction evaluationFunction,
                         final Comparator<PointValuePair> comparator) {
        // Evaluate the objective function at all non-evaluated simplex points.
        for (int i = 0; i < simplex.length; i++) {
            final PointValuePair vertex = simplex[i];
            final double[] point = vertex.getPointRef();
            if (Double.isNaN(vertex.getValue())) {
                simplex[i] = new PointValuePair(point, evaluationFunction.value(point), false);
            }
        }


        // Sort the simplex from best to worst.
        Arrays.sort(simplex, comparator);

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Examples of org.apache.commons.math3.optimization.PointValuePair

     */
    protected void replaceWorstPoint(PointValuePair pointValuePair,
                                     final Comparator<PointValuePair> comparator) {
        for (int i = 0; i < dimension; i++) {
            if (comparator.compare(simplex[i], pointValuePair) > 0) {
                PointValuePair tmp = simplex[i];
                simplex[i] = pointValuePair;
                pointValuePair = tmp;
            }
        }
        simplex[dimension] = pointValuePair;

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Examples of org.apache.commons.math3.optimization.PointValuePair

    @Override
    public void iterate(final MultivariateFunction evaluationFunction,
                        final Comparator<PointValuePair> comparator) {
        // Save the original simplex.
        final PointValuePair[] original = getPoints();
        final PointValuePair best = original[0];


        // Perform a reflection step.
        final PointValuePair reflected = evaluateNewSimplex(evaluationFunction,
                                                                original, 1, comparator);
        if (comparator.compare(reflected, best) < 0) {
            // Compute the expanded simplex.
            final PointValuePair[] reflectedSimplex = getPoints();
            final PointValuePair expanded = evaluateNewSimplex(evaluationFunction,
                                                                   original, khi, comparator);
            if (comparator.compare(reflected, expanded) <= 0) {
                // Keep the reflected simplex.
                setPoints(reflectedSimplex);
            }

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Examples of org.apache.commons.math3.optimization.PointValuePair

            final double[] xOriginal = original[i].getPointRef();
            final double[] xTransformed = new double[dim];
            for (int j = 0; j < dim; j++) {
                xTransformed[j] = xSmallest[j] + coeff * (xSmallest[j] - xOriginal[j]);
            }
            setPoint(i, new PointValuePair(xTransformed, Double.NaN, false));
        }


        // Evaluate the simplex.
        evaluate(evaluationFunction, comparator);

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Examples of org.apache.commons.math3.optimization.PointValuePair

        final ConvergenceChecker<PointValuePair> checker = getConvergenceChecker();
        while (true) {
            if (iteration > 0) {
                boolean converged = true;
                for (int i = 0; i < simplex.getSize(); i++) {
                    PointValuePair prev = previous[i];
                    converged = converged &&
                        checker.converged(iteration, prev, simplex.getPoint(i));
                }
                if (converged) {
                    // We have found an optimum.

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Examples of org.apache.commons.math3.optimization.PointValuePair

    @Test
    public void testTwoAxes() {
        double[] startPoint = point(DIM,1.0);
        double[] insigma = point(DIM,0.1);
        double[][] boundaries = null;
        PointValuePair expected =
            new PointValuePair(point(DIM,0.0),0.0);
        doTest(new TwoAxes(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, 2*LAMBDA, true, 0, 1e-13,
                1e-13, 1e-6, 200000, expected);
        doTest(new TwoAxes(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, 2*LAMBDA, false, 0, 1e-13,

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Examples of org.apache.commons.math3.optimization.PointValuePair

    @Test
    public void testCigTab() {
        double[] startPoint = point(DIM,1.0);
        double[] insigma = point(DIM,0.3);
        double[][] boundaries = null;
        PointValuePair expected =
            new PointValuePair(point(DIM,0.0),0.0);
        doTest(new CigTab(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
                1e-13, 5e-5, 100000, expected);
        doTest(new CigTab(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, false, 0, 1e-13,

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Examples of org.apache.commons.math3.optimization.PointValuePair

    @Test
    public void testSphere() {
        double[] startPoint = point(DIM,1.0);
        double[] insigma = point(DIM,0.1);
        double[][] boundaries = null;
        PointValuePair expected =
            new PointValuePair(point(DIM,0.0),0.0);
        doTest(new Sphere(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
                1e-13, 1e-6, 100000, expected);
        doTest(new Sphere(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, false, 0, 1e-13,

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Examples of org.apache.commons.math3.optimization.PointValuePair

    @Test
    public void testTablet() {
        double[] startPoint = point(DIM,1.0);
        double[] insigma = point(DIM,0.1);
        double[][] boundaries = null;
        PointValuePair expected =
            new PointValuePair(point(DIM,0.0),0.0);
        doTest(new Tablet(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
                1e-13, 1e-6, 100000, expected);
        doTest(new Tablet(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, false, 0, 1e-13,

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Examples of org.apache.commons.math3.optimization.PointValuePair

    @Test
    public void testDiffPow() {
        double[] startPoint = point(DIM,1.0);
        double[] insigma = point(DIM,0.1);
        double[][] boundaries = null;
        PointValuePair expected =
            new PointValuePair(point(DIM,0.0),0.0);
        doTest(new DiffPow(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, 10, true, 0, 1e-13,
                1e-8, 1e-1, 100000, expected);
        doTest(new DiffPow(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, 10, false, 0, 1e-13,

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