Examples of DifferentiableMultivariateVectorialFunction

org.apache.commons.math.analysis.DifferentiableMultivariateVectorialFunction
Extension of {@link MultivariateVectorialFunction} representing a differentiablemultivariate vectorial function. @version $Revision: 811685 $ $Date: 2009-09-05 19:36:48 +0200 (sam. 05 sept. 2009) $ @since 2.0

Examples of org.apache.commons.math.analysis.DifferentiableMultivariateVectorialFunction

        MultiStartDifferentiableMultivariateVectorialOptimizer optimizer =
            new MultiStartDifferentiableMultivariateVectorialOptimizer(underlyingOptimizer,
                                                                       10, generator);
        optimizer.setMaxIterations(100);
        optimizer.setConvergenceChecker(new SimpleVectorialValueChecker(1.0e-6, 1.0e-6));
        optimizer.optimize(new DifferentiableMultivariateVectorialFunction() {
                public MultivariateMatrixFunction jacobian() {
                    return null;
                }
                public double[] value(double[] point) throws FunctionEvaluationException {
                    throw new FunctionEvaluationException(point[0]);

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Examples of org.apache.commons.math.analysis.DifferentiableMultivariateVectorialFunction

        MultiStartDifferentiableMultivariateVectorialOptimizer optimizer =
            new MultiStartDifferentiableMultivariateVectorialOptimizer(underlyingOptimizer,
                                                                       10, generator);
        optimizer.setMaxIterations(100);
        optimizer.setConvergenceChecker(new SimpleVectorialValueChecker(1.0e-6, 1.0e-6));
        optimizer.optimize(new DifferentiableMultivariateVectorialFunction() {
                public MultivariateMatrixFunction jacobian() {
                    return null;
                }
                public double[] value(double[] point) throws FunctionEvaluationException {
                    throw new FunctionEvaluationException(point);

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Examples of org.apache.commons.math.analysis.DifferentiableMultivariateVectorialFunction

        MultiStartDifferentiableMultivariateVectorialOptimizer optimizer =
            new MultiStartDifferentiableMultivariateVectorialOptimizer(underlyingOptimizer,
                                                                       10, generator);
        optimizer.setMaxIterations(100);
        optimizer.setConvergenceChecker(new SimpleVectorialValueChecker(1.0e-6, 1.0e-6));
        optimizer.optimize(new DifferentiableMultivariateVectorialFunction() {
                public MultivariateMatrixFunction jacobian() {
                    return null;
                }
                public double[] value(double[] point) throws FunctionEvaluationException {
                    throw new FunctionEvaluationException(point[0]);

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