Package org.apache.commons.math3.analysis.function

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

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    @Test
    public void testSinZero() {
        // The sinus function is behaved well around the root at pi. The second
        // order derivative is zero, which means linear approximating methods
        // still converge quadratically.
        UnivariateFunction f = new Sin();
        double result;
        UnivariateSolver solver = getSolver();

        result = solver.solve(100, f, 3, 4);
        //System.out.println(
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        Assert.assertEquals(5.0, result, 0.0);
    }

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

    @Test
    public void testSolutionLeftSide() {
        UnivariateFunction f = new Sin();
        UnivariateSolver solver = getSolver();
        double left = -1.5;
        double right = 0.05;
        for(int i = 0; i < 10; i++) {
            // Test whether the allowed solutions are taken into account.
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        }
    }

    @Test
    public void testSolutionRightSide() {
        UnivariateFunction f = new Sin();
        UnivariateSolver solver = getSolver();
        double left = -1.5;
        double right = 0.05;
        for(int i = 0; i < 10; i++) {
            // Test whether the allowed solutions are taken into account.
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            right += 0.3;
        }
    }
    @Test
    public void testSolutionBelowSide() {
        UnivariateFunction f = new Sin();
        UnivariateSolver solver = getSolver();
        double left = -1.5;
        double right = 0.05;
        for(int i = 0; i < 10; i++) {
            // Test whether the allowed solutions are taken into account.
            double solution = getSolution(solver, 100, f, left, right, AllowedSolution.BELOW_SIDE);
            if (!Double.isNaN(solution)) {
                Assert.assertTrue(f.value(solution) <= 0.0);
            }

            // Prepare for next test.
            left -= 0.1;
            right += 0.3;
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        }
    }

    @Test
    public void testSolutionAboveSide() {
        UnivariateFunction f = new Sin();
        UnivariateSolver solver = getSolver();
        double left = -1.5;
        double right = 0.05;
        for(int i = 0; i < 10; i++) {
            // Test whether the allowed solutions are taken into account.
            double solution = getSolution(solver, 100, f, left, right, AllowedSolution.ABOVE_SIDE);
            if (!Double.isNaN(solution)) {
                Assert.assertTrue(f.value(solution) >= 0.0);
            }

            // Prepare for next test.
            left -= 0.1;
            right += 0.3;
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    /**
     *
     */
    @Test
    public void testSinZero() {
        UnivariateDifferentiableFunction f = new Sin();
        double result;

        NewtonRaphsonSolver solver = new NewtonRaphsonSolver();
        result = solver.solve(100, f, 3, 4);
        Assert.assertEquals(result, FastMath.PI, solver.getAbsoluteAccuracy());
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    }

    @Test
    public void testTransformFunctionSizeNotAPowerOfTwo() {
        final int n = 127;
        final UnivariateFunction f = new Sin();
        final DftNormalization[] norm;
        norm = DftNormalization.values();
        final TransformType[] type;
        type = TransformType.values();
        for (int i = 0; i < norm.length; i++) {
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    }

    @Test
    public void testTransformFunctionNotStrictlyPositiveNumberOfSamples() {
        final int n = -128;
        final UnivariateFunction f = new Sin();
        final DftNormalization[] norm;
        norm = DftNormalization.values();
        final TransformType[] type;
        type = TransformType.values();
        for (int i = 0; i < norm.length; i++) {
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    }

    @Test
    public void testTransformFunctionInvalidBounds() {
        final int n = 128;
        final UnivariateFunction f = new Sin();
        final DftNormalization[] norm;
        norm = DftNormalization.values();
        final TransformType[] type;
        type = TransformType.values();
        for (int i = 0; i < norm.length; i++) {
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Related Classes of org.apache.commons.math3.analysis.function.Sin

  • 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.FunctionUtilsTest
  • org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegratorTest
  • org.apache.commons.math3.analysis.integration.MidPointIntegratorTest
  • org.apache.commons.math3.analysis.integration.RombergIntegratorTest
  • org.apache.commons.math3.analysis.integration.SimpsonIntegratorTest
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