Examples of BrentSolver

org.apache.commons.math.analysis.BrentSolver
orld.wolfram.com/BrentsMethod.html"> Brent algorithm for finding zeros of real univariate functions.
The function should be continuous but not necessarily smooth. @version $Revision: 348519 $ $Date: 2005-11-23 12:12:18 -0700 (Wed, 23 Nov 2005) $
org.apache.commons.math.analysis.solvers.BrentSolver
orld.wolfram.com/BrentsMethod.html"> Brent algorithm for finding zeros of real univariate functions.
The function should be continuous but not necessarily smooth.
@version $Revision:670469 $ $Date:2008-06-23 10:01:38 +0200 (lun., 23 juin 2008) $
org.apache.commons.math3.analysis.solvers.BrentSolver
orld.wolfram.com/BrentsMethod.html"> Brent algorithm for finding zeros of real univariate functions. The function should be continuous but not necessarily smooth. The {@code solve} method returns a zero {@code x} of the function {@code f}in the given interval {@code [a, b]} to within a tolerance{@code 6 eps abs(x) + t} where {@code eps} is the relative accuracy and{@code t} is the absolute accuracy.The given interval must bracket the root.

Examples of org.apache.commons.math3.analysis.solvers.BrentSolver

     */
    public NonLinearConjugateGradientOptimizer(final Formula updateFormula,
                                               ConvergenceChecker<PointValuePair> checker) {
        this(updateFormula,
             checker,
             new BrentSolver(),
             new IdentityPreconditioner());
    }

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Examples of org.apache.commons.math3.analysis.solvers.BrentSolver

                };


        NonLinearConjugateGradientOptimizer optimizer
           = new NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula.POLAK_RIBIERE,
                                                     new SimpleValueChecker(1e-13, 1e-13),
                                                     new BrentSolver(),
                                                     preconditioner);


        PointValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 problem.getObjectiveFunction(),

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Examples of org.apache.commons.math3.analysis.solvers.BrentSolver

                {  7.0, 5.0,  9.0, 10.0 }
        }, new double[] { 32, 23, 33, 31 });
        NonLinearConjugateGradientOptimizer optimizer
            = new NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula.POLAK_RIBIERE,
                                                      new SimpleValueChecker(1e-13, 1e-13),
                                                      new BrentSolver(1e-15, 1e-15));
        PointValuePair optimum1
            = optimizer.optimize(new MaxEval(200),
                                 problem1.getObjectiveFunction(),
                                 problem1.getObjectiveFunctionGradient(),
                                 GoalType.MINIMIZE,

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Examples of org.apache.commons.math3.analysis.solvers.BrentSolver

        problem.addPoint( 35.0,  15.0);
        problem.addPoint( 45.0,  97.0);
        NonLinearConjugateGradientOptimizer optimizer
           = new NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula.POLAK_RIBIERE,
                                                     new SimpleValueChecker(1e-30, 1e-30),
                                                     new BrentSolver(1e-15, 1e-13));
        PointValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 problem.getObjectiveFunction(),
                                 problem.getObjectiveFunctionGradient(),
                                 GoalType.MINIMIZE,

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Examples of org.apache.commons.math3.analysis.solvers.BrentSolver

     */
    public NonLinearConjugateGradientOptimizer(final Formula updateFormula,
                                               ConvergenceChecker<PointValuePair> checker) {
        this(updateFormula,
             checker,
             new BrentSolver(),
             new IdentityPreconditioner());
    }

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Examples of org.apache.commons.math3.analysis.solvers.BrentSolver

     */
    public NonLinearConjugateGradientOptimizer(final ConjugateGradientFormula updateFormula,
                                               ConvergenceChecker<PointValuePair> checker) {
        this(updateFormula,
             checker,
             new BrentSolver(),
             new IdentityPreconditioner());
    }

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Examples of org.apache.commons.math3.analysis.solvers.BrentSolver

                };


        NonLinearConjugateGradientOptimizer optimizer =
            new NonLinearConjugateGradientOptimizer(ConjugateGradientFormula.POLAK_RIBIERE,
                                                    new SimpleValueChecker(1e-13, 1e-13),
                                                    new BrentSolver(),
                                                    preconditioner);
                                                    
        PointValuePair optimum =
            optimizer.optimize(100, problem, GoalType.MINIMIZE, new double[] { 0, 0, 0, 0, 0, 0 });
        Assert.assertEquals( 3.0, optimum.getPoint()[0], 1.0e-10);

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Examples of org.apache.commons.math3.analysis.solvers.BrentSolver

                {  7.0, 5.0,  9.0, 10.0 }
        }, new double[] { 32, 23, 33, 31 });
        NonLinearConjugateGradientOptimizer optimizer =
            new NonLinearConjugateGradientOptimizer(ConjugateGradientFormula.POLAK_RIBIERE,
                                                    new SimpleValueChecker(1e-13, 1e-13),
                                                    new BrentSolver(1e-15, 1e-15));
        PointValuePair optimum1 =
            optimizer.optimize(200, problem1, GoalType.MINIMIZE, new double[] { 0, 1, 2, 3 });
        Assert.assertEquals(1.0, optimum1.getPoint()[0], 1.0e-4);
        Assert.assertEquals(1.0, optimum1.getPoint()[1], 1.0e-4);
        Assert.assertEquals(1.0, optimum1.getPoint()[2], 1.0e-4);

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Examples of org.apache.commons.math3.analysis.solvers.BrentSolver

        circle.addPoint( 35.0,  15.0);
        circle.addPoint( 45.0,  97.0);
        NonLinearConjugateGradientOptimizer optimizer =
            new NonLinearConjugateGradientOptimizer(ConjugateGradientFormula.POLAK_RIBIERE,
                                                    new SimpleValueChecker(1e-30, 1e-30),
                                                    new BrentSolver(1e-15, 1e-13));
        PointValuePair optimum =
            optimizer.optimize(100, circle, GoalType.MINIMIZE, new double[] { 98.680, 47.345 });
        Vector2D center = new Vector2D(optimum.getPointRef()[0], optimum.getPointRef()[1]);
        Assert.assertEquals(69.960161753, circle.getRadius(center), 1.0e-8);
        Assert.assertEquals(96.075902096, center.getX(), 1.0e-8);

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Examples of org.apache.commons.math3.analysis.solvers.BrentSolver

        };


        final double tolerance = 0.1;
        EventState es = new EventState(closeEventsGenerator, 1.5 * gap,
                                       tolerance, 100,
                                       new BrentSolver(tolerance));


        AbstractStepInterpolator interpolator =
            new DummyStepInterpolator(new double[0], new double[0], true);
        interpolator.storeTime(r1 - 2.5 * gap);
        interpolator.shift();

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