Examples of org.apache.commons.math.optimization.SimpleScalarValueChecker

Package org.apache.commons.math.optimization

Examples of org.apache.commons.math.optimization.SimpleScalarValueChecker

org.apache.commons.math.optimization.SimpleScalarValueChecker
Simple implementation of the {@link RealConvergenceChecker} interface usingonly objective function values.
Convergence is considered to have been reached if either the relative difference between the objective function values is smaller than a threshold or if either the absolute difference between the objective function values is smaller than another threshold.
@version $Revision: 990655 $ $Date: 2010-08-29 23:49:40 +0200 (dim. 29 août 2010) $ @since 2.0

        circle.addPoint( 35.0,  15.0);
        circle.addPoint( 45.0,  97.0);
        NonLinearConjugateGradientOptimizer optimizer =
            new NonLinearConjugateGradientOptimizer(ConjugateGradientFormula.POLAK_RIBIERE);
        optimizer.setMaxIterations(100);
        optimizer.setConvergenceChecker(new SimpleScalarValueChecker(1.0e-30, 1.0e-30));
        BrentSolver solver = new BrentSolver();
        solver.setAbsoluteAccuracy(1.0e-13);
        solver.setRelativeAccuracy(1.0e-15);
        optimizer.setLineSearchSolver(solver);
        RealPointValuePair optimum =

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    /** Simple constructor with default settings.
     * <p>The convergence check is set to a {@link SimpleScalarValueChecker}
     * and the maximal number of evaluation is set to its default value.</p>
     */
    protected AbstractScalarDifferentiableOptimizer() {
        setConvergenceChecker(new SimpleScalarValueChecker());
        setMaxIterations(DEFAULT_MAX_ITERATIONS);
        setMaxEvaluations(Integer.MAX_VALUE);
    }

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    private double[][] startConfiguration;


    /** Simple constructor.
     */
    protected DirectSearchOptimizer() {
        setConvergenceChecker(new SimpleScalarValueChecker());
        setMaxIterations(Integer.MAX_VALUE);
        setMaxEvaluations(Integer.MAX_VALUE);
    }

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    /** Simple constructor with default settings.
     * <p>The convergence check is set to a {@link SimpleScalarValueChecker}
     * and the maximal number of evaluation is set to its default value.</p>
     */
    protected AbstractScalarDifferentiableOptimizer() {
        setConvergenceChecker(new SimpleScalarValueChecker());
        setMaxIterations(DEFAULT_MAX_ITERATIONS);
        setMaxEvaluations(Integer.MAX_VALUE);
    }

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    private double[][] startConfiguration;


    /** Simple constructor.
     */
    protected DirectSearchOptimizer() {
        setConvergenceChecker(new SimpleScalarValueChecker());
        setMaxIterations(Integer.MAX_VALUE);
        setMaxEvaluations(Integer.MAX_VALUE);
    }

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org.apache.commons.math.optimization.direct.DirectSearchOptimizer

org.apache.commons.math.optimization.direct.MultiDirectionalTest

org.apache.commons.math.optimization.direct.NelderMeadTest

org.apache.commons.math.optimization.direct.PowellOptimizerTest

org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer

org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizerTest

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