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.

                                    final PolynomialFunction p2,
                                    final UnivariateFunction weight,
                                    final double a, final double b,
                                    final double nonZeroThreshold,
                                    final double zeroThreshold) {
        UnivariateFunction f = new UnivariateFunction() {
            public double value(double x) {
                return weight.value(x) * p1.value(x) * p2.value(x);
            }
        };
        double dotProduct =

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    @Test
    public void testValues() {
        PolynomialSplineFunction spline =
            new PolynomialSplineFunction(knots, polynomials);
        UnivariateFunction dSpline = spline.derivative();


        /**
         * interior points -- spline value at x should equal p(x - knot)
         * where knot is the largest knot point less than or equal to x and p
         * is the polynomial defined over the knot segment to which x belongs.
         */
        double x = -1;
        int index = 0;
        for (int i = 0; i < 10; i++) {
           x+=0.25;
           index = findKnot(knots, x);
           Assert.assertEquals("spline function evaluation failed for x=" + x,
                   polynomials[index].value(x - knots[index]), spline.value(x), tolerance);
           Assert.assertEquals("spline derivative evaluation failed for x=" + x,
                   dp.value(x - knots[index]), dSpline.value(x), tolerance);
        }


        // knot points -- centering should zero arguments
        for (int i = 0; i < 3; i++) {
            Assert.assertEquals("spline function evaluation failed for knot=" + knots[i],
                    polynomials[i].value(0), spline.value(knots[i]), tolerance);
            Assert.assertEquals("spline function evaluation failed for knot=" + knots[i],
                    dp.value(0), dSpline.value(knots[i]), tolerance);
        }


        try { //outside of domain -- under min
            x = spline.value(-1.5);
            Assert.fail("Expecting OutOfRangeException");

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    @Test
    public void testIssue716() {
        BracketingNthOrderBrentSolver solver =
                new BracketingNthOrderBrentSolver(1.0e-12, 1.0e-10, 1.0e-22, 5);
        UnivariateFunction sharpTurn = new UnivariateFunction() {
            public double value(double x) {
                return (2 * x + 1) / (1.0e9 * (x + 1));
            }
        };
        double result = solver.solve(100, sharpTurn, -0.9999999, 30, 15, AllowedSolution.RIGHT_SIDE);
        Assert.assertEquals(0, sharpTurn.value(result), solver.getFunctionValueAccuracy());
        Assert.assertTrue(sharpTurn.value(result) >= 0);
        Assert.assertEquals(-0.5, result, 1.0e-10);
    }

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        return new int[] {3, 7, 8, 19, 18, 11, 67, 55, 288, 151, -1};
    }


    @Test(expected=ConvergenceException.class)
    public void testIssue631() {
        final UnivariateFunction f = new UnivariateFunction() {
                /** {@inheritDoc} */
                public double value(double x) {
                    return FastMath.exp(x) - FastMath.pow(Math.PI, 3.0);
                }
            };

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    /**
     * Test of solver for the sine function.
     */
    @Test
    public void testSinFunction() {
        UnivariateFunction f = new Sin();
        UnivariateSolver solver = new MullerSolver();
        double min, max, expected, result, tolerance;


        min = 3.0; max = 4.0; expected = FastMath.PI;
        tolerance = FastMath.max(solver.getAbsoluteAccuracy(),

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    /**
     * Test of solver for the quintic function.
     */
    @Test
    public void testQuinticFunction() {
        UnivariateFunction f = new QuinticFunction();
        UnivariateSolver solver = new MullerSolver();
        double min, max, expected, result, tolerance;


        min = -0.4; max = 0.2; expected = 0.0;
        tolerance = FastMath.max(solver.getAbsoluteAccuracy(),

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     * In fact, if not for the bisection alternative, the solver would
     * exceed the default maximal iteration of 100.
     */
    @Test
    public void testExpm1Function() {
        UnivariateFunction f = new Expm1();
        UnivariateSolver solver = new MullerSolver();
        double min, max, expected, result, tolerance;


        min = -1.0; max = 2.0; expected = 0.0;
        tolerance = FastMath.max(solver.getAbsoluteAccuracy(),

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    /**
     * Test of parameters for the solver.
     */
    @Test
    public void testParameters() {
        UnivariateFunction f = new Sin();
        UnivariateSolver solver = new MullerSolver();


        try {
            // bad interval
            double root = solver.solve(100, f, 1, -1);

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        final double maximumX = 10;
        final int numberOfSamples = 100;
        final double interpolationTolerance = 1e-15;
        final double maxTolerance = 1e-15;


        UnivariateFunction f = new UnivariateFunction()
        {
            public double value( double x )
            {
                return 2 * x - 5;
            }

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        final double maximumX = 10;
        final int numberOfSamples = 100;
        final double interpolationTolerance = 7e-15;
        final double maxTolerance = 6e-14;


        UnivariateFunction f = new UnivariateFunction()
        {
            public double value( double x )
            {
                return ( 3 * x * x ) - ( 5 * x ) + 7;
            }

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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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