Package org.apache.commons.math3.optim

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

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    @Test(expected = NumberIsTooLargeException.class)
    public void testInitOutofbounds1() {
        double[] startPoint = point(DIM,3);
        double[] insigma = point(DIM, 0.3);
        double[][] boundaries = boundaries(DIM,-1,2);
        PointValuePair expected =
            new PointValuePair(point(DIM,1.0),0.0);
        doTest(new Rosen(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
                1e-13, 1e-6, 100000, expected);
    }
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    @Test(expected = NumberIsTooSmallException.class)
    public void testInitOutofbounds2() {
        double[] startPoint = point(DIM, -2);
        double[] insigma = point(DIM, 0.3);
        double[][] boundaries = boundaries(DIM,-1,2);
        PointValuePair expected =
            new PointValuePair(point(DIM,1.0),0.0);
        doTest(new Rosen(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
                1e-13, 1e-6, 100000, expected);
    }
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    @Test(expected = DimensionMismatchException.class)
    public void testBoundariesDimensionMismatch() {
        double[] startPoint = point(DIM,0.5);
        double[] insigma = point(DIM, 0.3);
        double[][] boundaries = boundaries(DIM+1,-1,2);
        PointValuePair expected =
            new PointValuePair(point(DIM,1.0),0.0);
        doTest(new Rosen(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
                1e-13, 1e-6, 100000, expected);
    }
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    @Test(expected = NotPositiveException.class)
    public void testInputSigmaNegative() {
        double[] startPoint = point(DIM,0.5);
        double[] insigma = point(DIM,-0.5);
        double[][] boundaries = null;
        PointValuePair expected =
            new PointValuePair(point(DIM,1.0),0.0);
        doTest(new Rosen(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
                1e-13, 1e-6, 100000, expected);
    }
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    @Test(expected = OutOfRangeException.class)
    public void testInputSigmaOutOfRange() {
        double[] startPoint = point(DIM,0.5);
        double[] insigma = point(DIM, 1.1);
        double[][] boundaries = boundaries(DIM,-0.5,0.5);
        PointValuePair expected =
            new PointValuePair(point(DIM,1.0),0.0);
        doTest(new Rosen(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
                1e-13, 1e-6, 100000, expected);
    }
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    @Test(expected = DimensionMismatchException.class)
    public void testInputSigmaDimensionMismatch() {
        double[] startPoint = point(DIM,0.5);
        double[] insigma = point(DIM + 1, 0.5);
        double[][] boundaries = null;
        PointValuePair expected =
            new PointValuePair(point(DIM,1.0),0.0);
        doTest(new Rosen(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
                1e-13, 1e-6, 100000, expected);
    }
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    @Retry(3)
    public void testRosen() {
        double[] startPoint = point(DIM,0.1);
        double[] insigma = point(DIM,0.1);
        double[][] boundaries = null;
        PointValuePair expected =
            new PointValuePair(point(DIM,1.0),0.0);
        doTest(new Rosen(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
                1e-13, 1e-6, 100000, expected);
        doTest(new Rosen(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, false, 0, 1e-13,
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    @Retry(3)
    public void testMaximize() {
        double[] startPoint = point(DIM,1.0);
        double[] insigma = point(DIM,0.1);
        double[][] boundaries = null;
        PointValuePair expected =
            new PointValuePair(point(DIM,0.0),1.0);
        doTest(new MinusElli(), startPoint, insigma, boundaries,
                GoalType.MAXIMIZE, LAMBDA, true, 0, 1.0-1e-13,
                2e-10, 5e-6, 100000, expected);
        doTest(new MinusElli(), startPoint, insigma, boundaries,
                GoalType.MAXIMIZE, LAMBDA, false, 0, 1.0-1e-13,
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    @Test
    public void testEllipse() {
        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 Elli(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
                1e-13, 1e-6, 100000, expected);
        doTest(new Elli(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, false, 0, 1e-13,
View Full Code Here
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    @Test
    public void testElliRotated() {
        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 ElliRotated(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, true, 0, 1e-13,
                1e-13, 1e-6, 100000, expected);
        doTest(new ElliRotated(), startPoint, insigma, boundaries,
                GoalType.MINIMIZE, LAMBDA, false, 0, 1e-13,
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Related Classes of org.apache.commons.math3.optim.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
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