Examples of GaussianRandomGenerator

org.apache.commons.math.random.GaussianRandomGenerator
This class is a gaussian normalized random generator for scalars.
This class is a simple wrapper around the {@link RandomGenerator#nextGaussian} method.
@version $Revision: 811827 $ $Date: 2009-09-06 17:32:50 +0200 (dim. 06 sept. 2009) $ @since 1.2
org.apache.commons.math3.random.GaussianRandomGenerator
This class is a gaussian normalized random generator for scalars.
This class is a simple wrapper around the {@link RandomGenerator#nextGaussian} method.
@since 1.2

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

        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.GaussianRandomGenerator

        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
            = optimizer.optimize(new MaxEval(100),

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

            }
        };
        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),
                           problem.getModelFunction(),

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

        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 }),
                           new Weight(new double[] { 1 }),

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

        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
            = new MultiStartMultivariateOptimizer(underlying, nbStarts, generator);
        PointValuePair optimum
            = optimizer.optimize(new MaxEval(1000),

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

                {  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
            = optimizer.optimize(new MaxEval(1100),

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

        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.GaussianRandomGenerator

        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
            = optimizer.optimize(new MaxEval(100),

View Full Code Here

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

            }
        };
        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),
                           problem.getModelFunction(),

View Full Code Here

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

        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 }),
                           new Weight(new double[] { 1 }),

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