Examples of RandomVectorGenerator

org.apache.commons.math.random.RandomVectorGenerator
This interface represents a random generator for whole vectors. @since 1.2 @version $Revision: 811786 $ $Date: 2009-09-06 11:36:08 +0200 (dim. 06 sept. 2009) $
org.apache.commons.math3.random.RandomVectorGenerator
This interface represents a random generator for whole vectors. @since 1.2

Examples of org.apache.commons.math3.random.RandomVectorGenerator

    public void testNoOptimum() {
        JacobianMultivariateVectorOptimizer underlyingOptimizer
            = new GaussNewtonOptimizer(true, new SimpleVectorValueChecker(1e-6, 1e-6));
        JDKRandomGenerator g = new JDKRandomGenerator();
        g.setSeed(12373523445l);
        RandomVectorGenerator generator
            = new UncorrelatedRandomVectorGenerator(1, new GaussianRandomGenerator(g));
        MultiStartMultivariateVectorOptimizer optimizer
            = new MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);
        optimizer.optimize(new MaxEval(100),
                           new Target(new double[] { 0 }),

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Examples of org.apache.commons.math3.random.RandomVectorGenerator

        DifferentiableMultivariateVectorOptimizer underlyingOptimizer =
            new GaussNewtonOptimizer(true,
                                     new SimpleVectorValueChecker(1.0e-6, 1.0e-6));
        JDKRandomGenerator g = new JDKRandomGenerator();
        g.setSeed(16069223052l);
        RandomVectorGenerator generator =
            new UncorrelatedRandomVectorGenerator(1, new GaussianRandomGenerator(g));
        DifferentiableMultivariateVectorMultiStartOptimizer optimizer =
            new DifferentiableMultivariateVectorMultiStartOptimizer(underlyingOptimizer,
                                                                       10, generator);

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Examples of org.apache.commons.math3.random.RandomVectorGenerator

        DifferentiableMultivariateVectorOptimizer underlyingOptimizer =
            new GaussNewtonOptimizer(true,
                                     new SimpleVectorValueChecker(1.0e-6, 1.0e-6));
        JDKRandomGenerator g = new JDKRandomGenerator();
        g.setSeed(12373523445l);
        RandomVectorGenerator generator =
            new UncorrelatedRandomVectorGenerator(1, new GaussianRandomGenerator(g));
        DifferentiableMultivariateVectorMultiStartOptimizer optimizer =
            new DifferentiableMultivariateVectorMultiStartOptimizer(underlyingOptimizer,
                                                                       10, generator);
        optimizer.optimize(100, new DifferentiableMultivariateVectorFunction() {

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Examples of org.apache.commons.math3.random.RandomVectorGenerator

        NonLinearConjugateGradientOptimizer underlying =
            new NonLinearConjugateGradientOptimizer(ConjugateGradientFormula.POLAK_RIBIERE,
                                                    new SimpleValueChecker(1.0e-10, 1.0e-10));
        JDKRandomGenerator g = new JDKRandomGenerator();
        g.setSeed(753289573253l);
        RandomVectorGenerator generator =
            new UncorrelatedRandomVectorGenerator(new double[] { 50.0, 50.0 }, new double[] { 10.0, 10.0 },
                                                  new GaussianRandomGenerator(g));
        DifferentiableMultivariateMultiStartOptimizer optimizer =
            new DifferentiableMultivariateMultiStartOptimizer(underlying, 10, generator);
        PointValuePair optimum =

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