Package org.apache.commons.math.analysis

Examples of org.apache.commons.math.analysis.QuinticFunction

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        // of zero a 0.
        // The other roots are less well to find, in particular the root at 1, because
        // the function grows fast for x>1.
        // The function has extrema (first derivative is zero) at 0.27195613 and 0.82221643,
        // intervals containing these values are harder for the solvers.
        UnivariateRealFunction f = new QuinticFunction();
        double result;
        // Brent-Dekker solver.
        UnivariateRealSolver solver = new BrentSolver();
        // Symmetric bracket around 0. Test whether solvers can handle hitting
        // the root in the first iteration.
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        }
    }

    public void testInitialGuess() throws MathException {

        MonitoredFunction f = new MonitoredFunction(new QuinticFunction());
        UnivariateRealSolver solver = new BrentSolver();
        double result;

        // no guess
        result = solver.solve(f, 0.6, 7.0);
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    /**
     * Test deprecated APIs.
     */
    @Deprecated
    public void testDeprecated2() throws MathException {
        UnivariateRealFunction f = new QuinticFunction();
        MullerSolver solver = new MullerSolver(f);
        double min, max, expected, result, tolerance;

        min = -0.4; max = 0.2; expected = 0.0;
        tolerance = Math.max(solver.getAbsoluteAccuracy(),
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    /**
     * Test of solver for the quintic function.
     */
    public void testQuinticFunction() throws MathException {
        UnivariateRealFunction f = new QuinticFunction();
        UnivariateRealSolver solver = new MullerSolver();
        double min, max, expected, result, tolerance;

        min = -0.4; max = 0.2; expected = 0.0;
        tolerance = Math.max(solver.getAbsoluteAccuracy(),
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    /**
     * Test of solver for the quintic function using solve2().
     */
    public void testQuinticFunction2() throws MathException {
        UnivariateRealFunction f = new QuinticFunction();
        MullerSolver solver = new MullerSolver();
        double min, max, expected, result, tolerance;

        min = -0.4; max = 0.2; expected = 0.0;
        tolerance = Math.max(solver.getAbsoluteAccuracy(),
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   /**
     *
     */
    public void testQuinticZero() throws MathException {
        DifferentiableUnivariateRealFunction f = new QuinticFunction();
        double result;

        UnivariateRealSolver solver = new NewtonSolver();
        result = solver.solve(f, -0.2, 0.2);
        assertEquals(result, 0, solver.getAbsoluteAccuracy());
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Related Classes of org.apache.commons.math.analysis.QuinticFunction

  • org.apache.commons.math.analysis.integration.LegendreGaussIntegratorTest
  • org.apache.commons.math.analysis.integration.RombergIntegratorTest
  • org.apache.commons.math.analysis.integration.SimpsonIntegratorTest
  • org.apache.commons.math.analysis.integration.TrapezoidIntegratorTest
  • org.apache.commons.math.analysis.solvers.BisectionSolverTest
  • org.apache.commons.math.analysis.solvers.BrentSolverTest
  • org.apache.commons.math.analysis.solvers.MullerSolverTest
  • org.apache.commons.math.analysis.solvers.NewtonSolverTest
  • org.apache.commons.math.analysis.solvers.RiddersSolverTest
  • org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizerTest
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