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

Package org.apache.commons.math3.optimization

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

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

            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);

View Full Code Here

        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.

View Full Code Here

    @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,

View Full Code Here

    @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,

View Full Code Here

    @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,

View Full Code Here

    @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,

View Full Code Here

    @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,

View Full Code Here

    @Test
    public void testSsDiffPow() {
        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 SsDiffPow(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, 10, true, 0, 1e-13,
                1e-4, 1e-1, 200000, expected);
        doTest(new SsDiffPow(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, 10, false, 0, 1e-13,

View Full Code Here

    @Test
    public void testAckley() {
        double[] startPoint = point(DIM,1.0);
        double[] insigma = point(DIM,1.0);
        double[][] boundaries = null;
        PointValuePair expected =
            new PointValuePair(point(DIM,0.0),0.0);
        doTest(new Ackley(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, 2*LAMBDA, true, 0, 1e-13,
                1e-9, 1e-5, 100000, expected);
        doTest(new Ackley(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, 2*LAMBDA, false, 0, 1e-13,

View Full Code Here

    @Test
    public void testRastrigin() {
        double[] startPoint = point(DIM,0.1);
        double[] insigma = point(DIM,0.1);
        double[][] boundaries = null;
        PointValuePair expected =
            new PointValuePair(point(DIM,0.0),0.0);
        doTest(new Rastrigin(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, (int)(200*FastMath.sqrt(DIM)), true, 0, 1e-13,
                1e-13, 1e-6, 200000, expected);
        doTest(new Rastrigin(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, (int)(200*FastMath.sqrt(DIM)), false, 0, 1e-13,

View Full Code Here

0 1 2 3 4 5 6 7 8 9

TOP

Related Classes of org.apache.commons.math3.optimization.PointValuePair

org.apache.commons.math3.analysis.differentiation.DerivativeStructure

org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction

org.apache.commons.math3.analysis.function.HarmonicOscillator

org.apache.commons.math3.analysis.function.Sin

org.apache.commons.math3.analysis.function.Sinc

org.apache.commons.math3.analysis.MultivariateFunction

org.apache.commons.math3.analysis.QuinticFunction

org.apache.commons.math3.analysis.solvers.BrentSolver

org.apache.commons.math3.analysis.UnivariateFunction

org.apache.commons.math3.complex.Complex

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.