Package org.apache.commons.math.optimization

Examples of org.apache.commons.math.optimization.UnivariateRealOptimizer.optimize()

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            minimizer.getResult();
            fail("an exception should have been thrown");
        } catch (NoDataException ise) {
            // expected
        }
        assertEquals(3 * FastMath.PI / 2, minimizer.optimize(f, GoalType.MINIMIZE, 4, 5), 10 * minimizer.getRelativeAccuracy());
        assertTrue(minimizer.getIterationCount() <= 50);
        assertEquals(3 * FastMath.PI / 2, minimizer.optimize(f, GoalType.MINIMIZE, 1, 5), 10 * minimizer.getRelativeAccuracy());
        assertTrue(minimizer.getIterationCount() <= 50);
        assertTrue(minimizer.getEvaluations()    <= 100);
        assertTrue(minimizer.getEvaluations()    >=  15);
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        } catch (NoDataException ise) {
            // expected
        }
        assertEquals(3 * FastMath.PI / 2, minimizer.optimize(f, GoalType.MINIMIZE, 4, 5), 10 * minimizer.getRelativeAccuracy());
        assertTrue(minimizer.getIterationCount() <= 50);
        assertEquals(3 * FastMath.PI / 2, minimizer.optimize(f, GoalType.MINIMIZE, 1, 5), 10 * minimizer.getRelativeAccuracy());
        assertTrue(minimizer.getIterationCount() <= 50);
        assertTrue(minimizer.getEvaluations()    <= 100);
        assertTrue(minimizer.getEvaluations()    >=  15);
        minimizer.setMaxEvaluations(10);
        try {
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        assertTrue(minimizer.getIterationCount() <= 50);
        assertTrue(minimizer.getEvaluations()    <= 100);
        assertTrue(minimizer.getEvaluations()    >=  15);
        minimizer.setMaxEvaluations(10);
        try {
            minimizer.optimize(f, GoalType.MINIMIZE, 4, 5);
            fail("an exception should have been thrown");
        } catch (FunctionEvaluationException mue) {
            // expected
        } catch (Exception e) {
            fail("wrong exception caught");
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    @Test
    public void testQuinticMin() throws MathException {
        // The function has local minima at -0.27195613 and 0.82221643.
        UnivariateRealFunction f = new QuinticFunction();
        UnivariateRealOptimizer minimizer = new BrentOptimizer();
        assertEquals(-0.27195613, minimizer.optimize(f, GoalType.MINIMIZE, -0.3, -0.2), 1.0e-8);
        assertEquals( 0.82221643, minimizer.optimize(f, GoalType.MINIMIZE,  0.3,  0.9), 1.0e-8);
        assertTrue(minimizer.getIterationCount() <= 50);

        // search in a large interval
        assertEquals(-0.27195613, minimizer.optimize(f, GoalType.MINIMIZE, -1.0, 0.2), 1.0e-8);
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    public void testQuinticMin() throws MathException {
        // The function has local minima at -0.27195613 and 0.82221643.
        UnivariateRealFunction f = new QuinticFunction();
        UnivariateRealOptimizer minimizer = new BrentOptimizer();
        assertEquals(-0.27195613, minimizer.optimize(f, GoalType.MINIMIZE, -0.3, -0.2), 1.0e-8);
        assertEquals( 0.82221643, minimizer.optimize(f, GoalType.MINIMIZE,  0.3,  0.9), 1.0e-8);
        assertTrue(minimizer.getIterationCount() <= 50);

        // search in a large interval
        assertEquals(-0.27195613, minimizer.optimize(f, GoalType.MINIMIZE, -1.0, 0.2), 1.0e-8);
        assertTrue(minimizer.getIterationCount() <= 50);
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        assertEquals(-0.27195613, minimizer.optimize(f, GoalType.MINIMIZE, -0.3, -0.2), 1.0e-8);
        assertEquals( 0.82221643, minimizer.optimize(f, GoalType.MINIMIZE,  0.3,  0.9), 1.0e-8);
        assertTrue(minimizer.getIterationCount() <= 50);

        // search in a large interval
        assertEquals(-0.27195613, minimizer.optimize(f, GoalType.MINIMIZE, -1.0, 0.2), 1.0e-8);
        assertTrue(minimizer.getIterationCount() <= 50);
    }

    @Test
    public void testQuinticMinStatistics() throws MathException {
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        final double max = 0.25;
        final int nSamples = 200;
        final double delta = (max - min) / nSamples;
        for (int i = 0; i < nSamples; i++) {
            final double start = min + i * delta;
            stat[0].addValue(minimizer.optimize(f, GoalType.MINIMIZE, min, max, start));
            stat[1].addValue(minimizer.getIterationCount());
            stat[2].addValue(minimizer.getEvaluations());
        }

        final double meanOptValue = stat[0].getMean();
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    public void testQuinticMax() throws MathException {
        // The quintic function has zeros at 0, +-0.5 and +-1.
        // The function has a local maximum at 0.27195613.
        UnivariateRealFunction f = new QuinticFunction();
        UnivariateRealOptimizer minimizer = new BrentOptimizer();
        assertEquals(0.27195613, minimizer.optimize(f, GoalType.MAXIMIZE, 0.2, 0.3), 1.0e-8);
        minimizer.setMaximalIterationCount(5);
        try {
            minimizer.optimize(f, GoalType.MAXIMIZE, 0.2, 0.3);
            fail("an exception should have been thrown");
        } catch (MaxIterationsExceededException miee) {
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        UnivariateRealFunction f = new QuinticFunction();
        UnivariateRealOptimizer minimizer = new BrentOptimizer();
        assertEquals(0.27195613, minimizer.optimize(f, GoalType.MAXIMIZE, 0.2, 0.3), 1.0e-8);
        minimizer.setMaximalIterationCount(5);
        try {
            minimizer.optimize(f, GoalType.MAXIMIZE, 0.2, 0.3);
            fail("an exception should have been thrown");
        } catch (MaxIterationsExceededException miee) {
            // expected
        }
    }
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        UnivariateRealOptimizer solver = new BrentOptimizer();

        solver.setRelativeAccuracy(1e-8);

        // endpoint is minimum
        double result = solver.optimize(f, GoalType.MINIMIZE, 3 * FastMath.PI / 2, 5);
        assertEquals(3 * FastMath.PI / 2, result, 10 * solver.getRelativeAccuracy());

        result = solver.optimize(f, GoalType.MINIMIZE, 4, 3 * FastMath.PI / 2);
        assertEquals(3 * FastMath.PI / 2, result, 10 * solver.getRelativeAccuracy());
    }
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