Package org.apache.commons.math3.optimization.general

Examples of org.apache.commons.math3.optimization.general.GaussNewtonOptimizer.optimize()

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                        double fLineTol,
                        double pointTol) {
        final MultivariateOptimizer optim = new PowellOptimizer(fTol, Math.ulp(1d),
                                                                fLineTol, Math.ulp(1d));

        final PointValuePair result = optim.optimize(1000, func, goal, init);
        final double[] point = result.getPoint();

        for (int i = 0, dim = optimum.length; i < dim; i++) {
            Assert.assertEquals("found[" + i + "]=" + point[i] + " value=" + result.getValue(),
                                optimum[i], point[i], pointTol);
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                        GoalType goal,
                        double fTol,
                        double pointTol) {
        final MultivariateOptimizer optim = new PowellOptimizer(fTol, Math.ulp(1d));

        final PointValuePair result = optim.optimize(1000, func, goal, init);
        final double[] found = result.getPoint();

        for (int i = 0, dim = optimum.length; i < dim; i++) {
            Assert.assertEquals(optimum[i], found[i], pointTol);
        }
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            public PointVectorValuePair optimize(int maxEval,
                                                 MultivariateDifferentiableVectorFunction f,
                                                 double[] target,
                                                 double[] weight,
                                                 double[] startPoint) {
                return gn.optimize(maxEval, f, target, weight, startPoint);
            }

            public int getMaxEvaluations() {
                return gn.getMaxEvaluations();
            }
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            public PointVectorValuePair optimize(int maxEval,
                                                 MultivariateDifferentiableVectorFunction f,
                                                 double[] target,
                                                 double[] weight,
                                                 double[] startPoint) {
                return gn.optimize(maxEval, f, target, weight, startPoint);
            }

            public int getMaxEvaluations() {
                return gn.getMaxEvaluations();
            }
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            public PointVectorValuePair optimize(int maxEval,
                                                 MultivariateDifferentiableVectorFunction f,
                                                 double[] target,
                                                 double[] weight,
                                                 double[] startPoint) {
                return gn.optimize(maxEval, f, target, weight, startPoint);
            }

            public int getMaxEvaluations() {
                return gn.getMaxEvaluations();
            }
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            public PointVectorValuePair optimize(int maxEval,
                                                 MultivariateDifferentiableVectorFunction f,
                                                 double[] target,
                                                 double[] weight,
                                                 double[] startPoint) {
                return gn.optimize(maxEval, f, target, weight, startPoint);
            }

            public int getMaxEvaluations() {
                return gn.getMaxEvaluations();
            }
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                                                            new SimpleValueChecker(1.0e-10, 1.0e-10));
            public PointValuePair optimize(int maxEval,
                                           MultivariateDifferentiableFunction f,
                                           GoalType goalType,
                                           double[] startPoint) {
                return cg.optimize(maxEval, f, goalType, startPoint);
            }

            public int getMaxEvaluations() {
                return cg.getMaxEvaluations();
            }
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                                                            new SimpleValueChecker(1.0e-10, 1.0e-10));
            public PointValuePair optimize(int maxEval,
                                           MultivariateDifferentiableFunction f,
                                           GoalType goalType,
                                           double[] startPoint) {
                return cg.optimize(maxEval, f, goalType, startPoint);
            }

            public int getMaxEvaluations() {
                return cg.getMaxEvaluations();
            }
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