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


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


        optimizer.getOptima();

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

            = new LinearProblem(new double[][] { { 2 } }, new double[] { 3 });
        JacobianMultivariateVectorOptimizer underlyingOptimizer
            = new GaussNewtonOptimizer(true, new SimpleVectorValueChecker(1e-6, 1e-6));
        JDKRandomGenerator g = new JDKRandomGenerator();
        g.setSeed(16069223052l);
        RandomVectorGenerator generator
            = new UncorrelatedRandomVectorGenerator(1, new GaussianRandomGenerator(g));
        MultiStartMultivariateVectorOptimizer optimizer
            = new MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);


        PointVectorValuePair optimum

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

                return super.optimize(filtered);
            }
        };
        JDKRandomGenerator g = new JDKRandomGenerator();
        g.setSeed(16069223052l);
        RandomVectorGenerator generator =
                new UncorrelatedRandomVectorGenerator(1, new GaussianRandomGenerator(g));
        MultiStartMultivariateVectorOptimizer optimizer =
                new MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);


        optimizer.optimize(new MaxEval(100),

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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

        GradientMultivariateOptimizer underlying
            = new NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula.POLAK_RIBIERE,
                                                      new SimpleValueChecker(1e-10, 1e-10));
        JDKRandomGenerator g = new JDKRandomGenerator();
        g.setSeed(753289573253l);
        RandomVectorGenerator generator
            = new UncorrelatedRandomVectorGenerator(new double[] { 50, 50 },
                                                    new double[] { 10, 10 },
                                                    new GaussianRandomGenerator(g));
        int nbStarts = 10;
        MultiStartMultivariateOptimizer optimizer

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

                { 0.9, 1.2 } ,
                {  3.5, -2.3 }
            });
        JDKRandomGenerator g = new JDKRandomGenerator();
        g.setSeed(16069223052l);
        RandomVectorGenerator generator
            = new UncorrelatedRandomVectorGenerator(2, new GaussianRandomGenerator(g));
        int nbStarts = 10;
        MultiStartMultivariateOptimizer optimizer
            = new MultiStartMultivariateOptimizer(underlying, nbStarts, generator);
        PointValuePair optimum

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

            int[] datasets = new int[] { 256, 1000, 2500, 1000 };
            List<Pair<String, RandomVectorGenerator>> generators = new ArrayList<Pair<String, RandomVectorGenerator>>();


            generators.add(new Pair<String, RandomVectorGenerator>("Uncorrelated\nUniform(JDK)",
                    new UncorrelatedRandomVectorGenerator(2, new UniformRandomGenerator(new JDKRandomGenerator()))));
            generators.add(new Pair<String, RandomVectorGenerator>("Independent\nRandom(MT)", new RandomVectorGenerator() {


                RandomGenerator[] rngs = new RandomGenerator[] {
                    new MersenneTwister(0),
                    new MersenneTwister(1)
                };

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


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


        optimizer.getOptima();

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

            = new LinearProblem(new double[][] { { 2 } }, new double[] { 3 });
        JacobianMultivariateVectorOptimizer underlyingOptimizer
            = new GaussNewtonOptimizer(true, new SimpleVectorValueChecker(1e-6, 1e-6));
        JDKRandomGenerator g = new JDKRandomGenerator();
        g.setSeed(16069223052l);
        RandomVectorGenerator generator
            = new UncorrelatedRandomVectorGenerator(1, new GaussianRandomGenerator(g));
        MultiStartMultivariateVectorOptimizer optimizer
            = new MultiStartMultivariateVectorOptimizer(underlyingOptimizer, 10, generator);


        PointVectorValuePair optimum

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