Examples of SimpleValueChecker

org.apache.commons.math3.optim.SimpleValueChecker
Simple implementation of the {@link ConvergenceChecker} 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.
The {@link #converged(int,PointValuePair,PointValuePair) converged}method will also return {@code true} if the number of iterations has been set(see {@link #SimpleValueChecker(double,double,int) this constructor}). @since 3.0
org.apache.commons.math3.optimization.SimpleValueChecker
Simple implementation of the {@link ConvergenceChecker} 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.
The {@link #converged(int,PointValuePair,PointValuePair) converged}method will also return {@code true} if the number of iterations has been set(see {@link #SimpleValueChecker(double,double,int) this constructor}). @deprecated As of 3.1 (to be removed in 4.0). @since 3.0

Examples of org.apache.commons.math3.optim.SimpleValueChecker

                 { 0.0, 0.0, -1.0,  1.0, 0.0,  1.0 },
                 { 0.0, 0.0,  0.0, -1.0, 1.0,  0.0 }
        }, new double[] { 3.0, 12.0, -1.0, 7.0, 1.0 });
        NonLinearConjugateGradientOptimizer optimizer
           = new NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula.POLAK_RIBIERE,
                                                     new SimpleValueChecker(1e-6, 1e-6),
                                                     1e-3, 1e-3, 1);
        PointValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 problem.getObjectiveFunction(),
                                 problem.getObjectiveFunctionGradient(),

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Examples of org.apache.commons.math3.optim.SimpleValueChecker

                { 1.0,  3.0 }
        }, new double[] { 3.0, 1.0, 5.0 });


        NonLinearConjugateGradientOptimizer optimizer
            = new NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula.POLAK_RIBIERE,
                                                      new SimpleValueChecker(1e-6, 1e-6),
                                                      1e-3, 1e-3, 1);
        PointValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 problem.getObjectiveFunction(),
                                 problem.getObjectiveFunctionGradient(),

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Examples of org.apache.commons.math3.optim.SimpleValueChecker

                { 1.0,  3.0 }
        }, new double[] { 3.0, 1.0, 4.0 });


        NonLinearConjugateGradientOptimizer optimizer
            = new NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula.POLAK_RIBIERE,
                                                      new SimpleValueChecker(1e-6, 1e-6),
                                                      1e-3, 1e-3, 1);
        PointValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 problem.getObjectiveFunction(),
                                 problem.getObjectiveFunctionGradient(),

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Examples of org.apache.commons.math3.optim.SimpleValueChecker

        problem.addPoint(110.0, -20.0);
        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),
                                                     1e-15, 1e-13, 1);
        PointValuePair optimum
            = optimizer.optimize(new MaxEval(100),
                                 problem.getObjectiveFunction(),
                                 problem.getObjectiveFunctionGradient(),

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Examples of org.apache.commons.math3.optim.SimpleValueChecker

    public void testBoundsUnsupported() {
        LinearProblem problem
            = new LinearProblem(new double[][] { { 2 } }, new double[] { 3 });
        NonLinearConjugateGradientOptimizer optimizer
            = new NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula.POLAK_RIBIERE,
                                                      new SimpleValueChecker(1e-6, 1e-6),
                                                      1e-3, 1e-3, 1);
        optimizer.optimize(new MaxEval(100),
                           problem.getObjectiveFunction(),
                           problem.getObjectiveFunctionGradient(),
                           GoalType.MINIMIZE,

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Examples of org.apache.commons.math3.optimization.SimpleValueChecker

     * @deprecated See {@link SimpleValueChecker#SimpleValueChecker()}
     */
    @Deprecated
    public NonLinearConjugateGradientOptimizer(final ConjugateGradientFormula updateFormula) {
        this(updateFormula,
             new SimpleValueChecker());
    }

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Examples of org.apache.commons.math3.optimization.SimpleValueChecker

     * The convergence check is set to a {@link SimpleValueChecker}.
     * @deprecated See {@link SimpleValueChecker#SimpleValueChecker()}
     */
    @Deprecated
    protected BaseAbstractMultivariateOptimizer() {
        this(new SimpleValueChecker());
    }

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Examples of org.apache.commons.math3.optimization.SimpleValueChecker

                          int maxIterations, double stopFitness,
                          boolean isActiveCMA, int diagonalOnly, int checkFeasableCount,
                          RandomGenerator random, boolean generateStatistics) {
        this(lambda, inputSigma, maxIterations, stopFitness, isActiveCMA,
             diagonalOnly, checkFeasableCount, random, generateStatistics,
             new SimpleValueChecker());
    }

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Examples of org.apache.commons.math3.optimization.SimpleValueChecker

     * checker}.
     * @deprecated See {@link SimpleValueChecker#SimpleValueChecker()}
     */
    @Deprecated
    public SimplexOptimizer() {
        this(new SimpleValueChecker());
    }

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Examples of org.apache.commons.math3.optimization.SimpleValueChecker

    /**
     * @param rel Relative threshold.
     * @param abs Absolute threshold.
     */
    public SimplexOptimizer(double rel, double abs) {
        this(new SimpleValueChecker(rel, abs));
    }

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