Package org.apache.commons.math3.optimization

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

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    }

    /** {@inheritDoc} */
    @Override
    protected PointValuePair doOptimize() {
        final GoalType goal = getGoalType();
        final double[] guess = getStartPoint();
        final int n = guess.length;

        final double[][] direc = new double[n][n];
        for (int i = 0; i < n; i++) {
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                        final double obj = PowellOptimizer.this.computeObjectiveValue(x);
                        return obj;
                    }
                };

            final GoalType goal = PowellOptimizer.this.getGoalType();
            bracket.search(f, goal, 0, 1);
            // Passing "MAX_VALUE" as a dummy value because it is the enclosing
            // class that counts the number of evaluations (and will eventually
            // generate the exception).
            return optimize(Integer.MAX_VALUE, f, goal,
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    /** {@inheritDoc} */
    @Override
    protected PointValuePair doOptimize() {
        final ConvergenceChecker<PointValuePair> checker = getConvergenceChecker();
        point = getStartPoint();
        final GoalType goal = getGoalType();
        final int n = point.length;
        double[] r = computeObjectiveGradient(point);
        if (goal == GoalType.MINIMIZE) {
            for (int i = 0; i < n; ++i) {
                r[i] = -r[i];
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    /** {@inheritDoc} */
    @Override
    protected PointValuePair doOptimize() {
        final ConvergenceChecker<PointValuePair> checker = getConvergenceChecker();
        point = getStartPoint();
        final GoalType goal = getGoalType();
        final int n = point.length;
        double[] r = computeObjectiveGradient(point);
        if (goal == GoalType.MINIMIZE) {
            for (int i = 0; i < n; ++i) {
                r[i] = -r[i];
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    }

    /** {@inheritDoc} */
    @Override
    protected PointValuePair doOptimize() {
        final GoalType goal = getGoalType();
        final double[] guess = getStartPoint();
        final int n = guess.length;

        final double[][] direc = new double[n][n];
        for (int i = 0; i < n; i++) {
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                        final double obj = PowellOptimizer.this.computeObjectiveValue(x);
                        return obj;
                    }
                };

            final GoalType goal = PowellOptimizer.this.getGoalType();
            bracket.search(f, goal, 0, 1);
            // Passing "MAX_VALUE" as a dummy value because it is the enclosing
            // class that counts the number of evaluations (and will eventually
            // generate the exception).
            return optimize(Integer.MAX_VALUE, f, goal,
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    /** {@inheritDoc} */
    @Override
    protected PointValuePair doOptimize() {
        final ConvergenceChecker<PointValuePair> checker = getConvergenceChecker();
        point = getStartPoint();
        final GoalType goal = getGoalType();
        final int n = point.length;
        double[] r = computeObjectiveGradient(point);
        if (goal == GoalType.MINIMIZE) {
            for (int i = 0; i < n; ++i) {
                r[i] = -r[i];
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    }

    /** {@inheritDoc} */
    @Override
    protected PointValuePair doOptimize() {
        final GoalType goal = getGoalType();
        final double[] guess = getStartPoint();
        final int n = guess.length;

        final double[][] direc = new double[n][n];
        for (int i = 0; i < n; i++) {
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                        final double obj = PowellOptimizer.this.computeObjectiveValue(x);
                        return obj;
                    }
                };

            final GoalType goal = PowellOptimizer.this.getGoalType();
            bracket.search(f, goal, 0, 1);
            // Passing "MAX_VALUE" as a dummy value because it is the enclosing
            // class that counts the number of evaluations (and will eventually
            // generate the exception).
            return optimize(Integer.MAX_VALUE, f, goal,
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     * {@link #DEFAULT_INVERSE_ABSOLUTE_ACCURACY}).
     * @throws NotStrictlyPositiveException if {@code mean <= 0}.
     * @since 2.1
     */
    public ExponentialDistribution(double mean, double inverseCumAccuracy) {
        this(new Well19937c(), mean, inverseCumAccuracy);
    }
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Related Classes of org.apache.commons.math3.optimization.GoalType

  • org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  • org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction
  • org.apache.commons.math3.analysis.function.HarmonicOscillator
  • org.apache.commons.math3.analysis.function.Sin
  • org.apache.commons.math3.analysis.function.Sinc
  • org.apache.commons.math3.analysis.MultivariateFunction
  • org.apache.commons.math3.analysis.QuinticFunction
  • org.apache.commons.math3.analysis.solvers.BrentSolver
  • org.apache.commons.math3.analysis.UnivariateFunction
  • org.apache.commons.math3.complex.Complex
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