Examples of org.apache.commons.math.random.UniformRandomGenerator

org.apache.commons.math.random.UniformRandomGenerator
This class implements a normalized uniform random generator.
Since it is a normalized random generator, it generates values from a uniform distribution with mean equal to 0 and standard deviation equal to 1. Generated values fall in the range [-√3, +√3].
@since 1.2 @version $Revision: 990655 $ $Date: 2010-08-29 23:49:40 +0200 (dim. 29 août 2010) $

    RandomGenerator rg = new JDKRandomGenerator();
    rg.setSeed(64453353l);
    RandomVectorGenerator rvg =
        new UncorrelatedRandomVectorGenerator(new double[] { 0.9, 1.1 },
                                              new double[] { 0.2, 0.2 },
                                              new UniformRandomGenerator(rg));
    optimum =
        nm.minimize(rosenbrock, 100, new ValueChecker(1.0e-3), rvg);
    assertEquals(0.0, optimum.getCost(), 2.0e-4);
    optimum =
        nm.minimize(rosenbrock, 100, new ValueChecker(1.0e-3), rvg, 3);

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            standardDeviation[i] = 0.5 * Math.abs(vertexA[i] - vertexB[i]);
        }


        RandomGenerator rg = new JDKRandomGenerator();
        rg.setSeed(seed);
        UniformRandomGenerator urg = new UniformRandomGenerator(rg);
        RandomVectorGenerator rvg =
            new UncorrelatedRandomVectorGenerator(mean, standardDeviation, urg);
        setMultiStart(starts, rvg);


        // compute minimum

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            RandomGenerator rg = new JDKRandomGenerator();
            rg.setSeed(seed);
            RandomVectorGenerator rvg =
                new CorrelatedRandomVectorGenerator(mean,
                                                    covariance, 1.0e-12 * covariance.getNorm(),
                                                    new UniformRandomGenerator(rg));
            setMultiStart(starts, rvg);


            // compute minimum
            return minimize(f, maxEvaluations, checker);

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org.apache.commons.math.optimization.DirectSearchOptimizer

org.apache.commons.math.optimization.NelderMeadTest

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