Package org.apache.commons.math3.random

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

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        }

        @Override
        public Distribution get()
        {
            return new DistributionQuantized(new DistributionOffsetApache(new WeibullDistribution(new JDKRandomGenerator(), shape, scale, WeibullDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY), min, max), quantas);
        }
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        }

        @Override
        public Distribution get()
        {
            return new DistributionBoundApache(new NormalDistribution(new JDKRandomGenerator(), mean, stdev, NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY), min, max);
        }
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        }

        @Override
        public Distribution get()
        {
            return new DistributionBoundApache(new UniformRealDistribution(new JDKRandomGenerator(), min, max + 1), min, max);
        }
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        }

        @Override
        public Distribution get()
        {
            return new DistributionOffsetApache(new ExponentialDistribution(new JDKRandomGenerator(), mean, ExponentialDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY), min, max);
        }
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        }

        @Override
        public Distribution get()
        {
            return new DistributionOffsetApache(new WeibullDistribution(new JDKRandomGenerator(), shape, scale, WeibullDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY), min, max);
        }
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        }

        @Override
        public Distribution get()
        {
            return new DistributionBoundApache(new NormalDistribution(new JDKRandomGenerator(), mean, stdev, NormalDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY), min, max);
        }
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        }

        @Override
        public Distribution get()
        {
            return new DistributionBoundApache(new UniformRealDistribution(new JDKRandomGenerator(), min, max + 1), min, max);
        }
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    @Test
    public void testSinMin() {
        UnivariateFunction f = new Sin();
        UnivariateOptimizer underlying = new BrentOptimizer(1e-10, 1e-14);
        JDKRandomGenerator g = new JDKRandomGenerator();
        g.setSeed(44428400075l);
        UnivariateMultiStartOptimizer<UnivariateFunction> optimizer =
            new UnivariateMultiStartOptimizer<UnivariateFunction>(underlying, 10, g);
        optimizer.optimize(300, f, GoalType.MINIMIZE, -100.0, 100.0);
        UnivariatePointValuePair[] optima = optimizer.getOptima();
        for (int i = 1; i < optima.length; ++i) {
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    public void testQuinticMin() {
        // The quintic function has zeros at 0, +-0.5 and +-1.
        // The function has extrema (first derivative is zero) at 0.27195613 and 0.82221643,
        UnivariateFunction f = new QuinticFunction();
        UnivariateOptimizer underlying = new BrentOptimizer(1e-9, 1e-14);
        JDKRandomGenerator g = new JDKRandomGenerator();
        g.setSeed(4312000053L);
        UnivariateMultiStartOptimizer<UnivariateFunction> optimizer =
            new UnivariateMultiStartOptimizer<UnivariateFunction>(underlying, 5, g);

        UnivariatePointValuePair optimum
            = optimizer.optimize(300, f, GoalType.MINIMIZE, -0.3, -0.2);
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                    }
                    return 0;
                }
            };
        UnivariateOptimizer underlying = new BrentOptimizer(1e-9, 1e-14);
        JDKRandomGenerator g = new JDKRandomGenerator();
        g.setSeed(4312000053L);
        UnivariateMultiStartOptimizer<UnivariateFunction> optimizer =
            new UnivariateMultiStartOptimizer<UnivariateFunction>(underlying, 5, g);
        try {
            optimizer.optimize(300, f, GoalType.MINIMIZE, -0.3, -0.2);
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Related Classes of org.apache.commons.math3.random.JDKRandomGenerator

  • org.apache.cassandra.stress.settings.OptionDistribution$ExpFactory
  • org.apache.cassandra.stress.settings.OptionDistribution$ExtremeFactory
  • org.apache.cassandra.stress.settings.OptionDistribution$GaussianFactory
  • org.apache.cassandra.stress.settings.OptionDistribution$UniformFactory
  • org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  • org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction
  • org.apache.commons.math3.analysis.function.HarmonicOscillator
  • org.apache.commons.math3.analysis.function.Sin
  • org.apache.commons.math3.analysis.function.Sinc
  • org.apache.commons.math3.analysis.MultivariateFunction
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