Examples of org.apache.commons.math3.analysis.UnivariateFunction

Package org.apache.commons.math3.analysis

Examples of org.apache.commons.math3.analysis.UnivariateFunction

org.apache.commons.math3.analysis.UnivariateFunction
x value that caused the problem. private final double x; public LocalException(double x) { this.x = x; } public double getX() { return x; } } private static class MyFunction implements UnivariateFunction { public double value(double x) { double y = hugeFormula(x); if (somethingBadHappens) { throw new LocalException(x); } return y; } } public void compute() { try { solver.solve(maxEval, new MyFunction(a, b, c), min, max); } catch (LocalException le) { // Retrieve the x value. } } As shown, the exception is local to the user's code and it is guaranteed that Apache Commons Math will not catch it.

        Assert.assertEquals(FastMath.PI, result, solver.getAbsoluteAccuracy());
    }


    @Test
    public void testBadEndpoints() {
        UnivariateFunction f = new Sin();
        BrentSolver solver = new BrentSolver();
        try {  // bad interval
            solver.solve(100, f, 1, -1);
            Assert.fail("Expecting NumberIsTooLargeException - bad interval");
        } catch (NumberIsTooLargeException ex) {

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        Assert.assertEquals(1, f.getCallsCount());
    }


    @Test
    public void testMath832() {
        final UnivariateFunction f = new UnivariateFunction() {
                private final UnivariateDifferentiableFunction sqrt = new Sqrt();
                private final UnivariateDifferentiableFunction inv = new Inverse();
                private final UnivariateDifferentiableFunction func
                    = FunctionUtils.add(FunctionUtils.multiply(new Constant(1e2), sqrt),
                                        FunctionUtils.multiply(new Constant(1e6), inv),

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    public void testDensityIntegrals() {
        final RealDistribution distribution = makeDistribution();
        final double tol = 1.0e-9;
        final BaseAbstractUnivariateIntegrator integrator =
            new IterativeLegendreGaussIntegrator(5, 1.0e-12, 1.0e-10);
        final UnivariateFunction d = new UnivariateFunction() {
            public double value(double x) {
                return distribution.density(x);
            }
        };
        final double[] lower = {0, 5, 1000, 5001, 9995};

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public class BracketFinderTest {


    @Test
    public void testCubicMin() {
        final BracketFinder bFind = new BracketFinder();
        final UnivariateFunction func = new UnivariateFunction() {
                public double value(double x) {
                    if (x < -2) {
                        return value(-2);
                    }
                    else  {

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    }


    @Test
    public void testCubicMax() {
        final BracketFinder bFind = new BracketFinder();
        final UnivariateFunction func = new UnivariateFunction() {
                public double value(double x) {
                    if (x < -2) {
                        return value(-2);
                    }
                    else  {

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        Assert.assertEquals(0.61803399999999997, bFind.getHi(), tol);
    }


    @Test
    public void testMinimumIsOnIntervalBoundary() {
        final UnivariateFunction func = new UnivariateFunction() {
                public double value(double x) {
                    return x * x;
                }
            };

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        Assert.assertTrue(0 <= bFind.getHi());
    }


    @Test
    public void testIntervalBoundsOrdering() {
        final UnivariateFunction func = new UnivariateFunction() {
                public double value(double x) {
                    return x * x;
                }
            };

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        final double[] centre = barycentre(cities);
        // Largest distance from centre.
        final double radius = 0.5 * largestDistance(centre[0], centre[1], cities);


        final double omega = 2 * Math.PI / numberOfNeurons;
        final UnivariateFunction h1 = new HarmonicOscillator(radius, omega, 0);
        final UnivariateFunction h2 = new HarmonicOscillator(radius, omega, 0.5 * Math.PI);


        final UnivariateFunction f1 = FunctionUtils.add(h1, new Constant(centre[0]));
        final UnivariateFunction f2 = FunctionUtils.add(h2, new Constant(centre[1]));


        final RealDistribution u
            = new UniformRealDistribution(random, -0.05 * radius, 0.05 * radius);


        return new FeatureInitializer[] {

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 */
public final class BrentOptimizerTest {


    @Test
    public void testSinMin() {
        UnivariateFunction f = new Sin();
        UnivariateOptimizer optimizer = new BrentOptimizer(1e-10, 1e-14);
        Assert.assertEquals(3 * Math.PI / 2, optimizer.optimize(new MaxEval(200),
                                                                new UnivariateObjectiveFunction(f),
                                                                GoalType.MINIMIZE,
                                                                new SearchInterval(4, 5)).getPoint(), 1e-8);

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        }
    }


    @Test
    public void testSinMinWithValueChecker() {
        final UnivariateFunction f = new Sin();
        final ConvergenceChecker<UnivariatePointValuePair> checker = new SimpleUnivariateValueChecker(1e-5, 1e-14);
        // The default stopping criterion of Brent's algorithm should not
        // pass, but the search will stop at the given relative tolerance
        // for the function value.
        final UnivariateOptimizer optimizer = new BrentOptimizer(1e-10, 1e-14, checker);

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Related Classes of org.apache.commons.math3.analysis.UnivariateFunction

org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiatorTest

org.apache.commons.math3.analysis.function.GaussianTest

org.apache.commons.math3.analysis.function.HarmonicOscillatorTest

org.apache.commons.math3.analysis.function.LogisticTest

org.apache.commons.math3.analysis.function.LogitTest

org.apache.commons.math3.analysis.function.SigmoidTest

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

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

org.apache.commons.math3.analysis.function.SincTest

org.apache.commons.math3.analysis.function.SqrtTest

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