Examples of Gamma

cern.jet.random.Gamma
fo.cern.ch/asdoc/shortwrupsdir/g106/top.html"> math definition, definition of gamma function and animated definition.
p(x) = k * x^(alpha-1) * e^(-x/beta) with k = 1/(g(alpha) * b^a)) and g(a) being the gamma function.
Valid parameter ranges: alpha > 0.
Note: For a Gamma distribution to have the mean mean and variance variance, set the parameters as follows:
```
 alpha = mean*mean / variance; lambda = 1 / (variance / mean);  
```
Instance methods operate on a user supplied uniform random number generator; they are unsynchronized.
Static methods operate on a default uniform random number generator; they are synchronized.
Implementation:
Method: Acceptance Rejection combined with Acceptance Complement.
High performance implementation. This is a port of RandGamma used in CLHEP 1.4.0 (C++). CLHEP's implementation, in turn, is based on gds.c from the C-RAND / WIN-RAND library. C-RAND's implementation, in turn, is based upon
J.H. Ahrens, U. Dieter (1974): Computer methods for sampling from gamma, beta, Poisson and binomial distributions, Computing 12, 223-246.
and
J.H. Ahrens, U. Dieter (1982): Generating gamma variates by a modified rejection technique, Communications of the ACM 25, 47-54. @author wolfgang.hoschek@cern.ch @version 1.0, 09/24/99
com.nr.sf.Gamma
org.apache.mahout.math.jet.random.Gamma
@deprecated until unit tests are in place. Until this time, this class/interface is unsupported.
org.apache.tuscany.sca.itest.conversational.Gamma
@version $Rev$ $Date$
org.openhab.binding.epsonprojector.internal.EpsonProjectorDevice.Gamma

Examples of org.apache.mahout.math.jet.random.Gamma


        PrintWriter out = new PrintWriter(new FileOutputStream("sq-tree-comparison.csv"));
        try {


            for (int i = 0; i < repeats(); i++) {
                compareSQ(out, new Gamma(0.1, 0.1, rand), "gamma", 1L << 48);
                compareSQ(out, new Uniform(0, 1, rand), "uniform", 1L << 48);
            }
        } finally {
            out.close();
        }

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Examples of org.apache.mahout.math.jet.random.Gamma

        // the median is 0.006 and the 99.9th %-ile is 33.6 while the mean is 1.
        // this severe skew means that we have to have positional accuracy that
        // varies by over 11 orders of magnitude.
        Random gen = RandomUtils.getRandom();
        for (int i = 0; i < 10; i++) {
            runTest(factory, new Gamma(0.1, 0.1, gen), 100,
//                    new double[]{6.0730483624079e-30, 6.0730483624079e-20, 6.0730483627432e-10, 5.9339110446023e-03,
//                            2.6615455373884e+00, 1.5884778179295e+01, 3.3636770117188e+01},
                    new double[]{0.001, 0.01, 0.1, 0.5, 0.9, 0.99, 0.999},
                    "gamma", false);
        }

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Examples of org.apache.mahout.math.jet.random.Gamma

        PrintWriter out = new PrintWriter(new FileOutputStream("qd-array-comparison.csv"));
        try {
            out.printf("tag\tcompression\tq\te1\tcdf.vs.q\tsize\tqd.size\n");


            for (int i = 0; i < repeats(); i++) {
                compareQD(out, new Gamma(0.1, 0.1, rand), "gamma", 1L << 48);
                compareQD(out, new Uniform(0, 1, rand), "uniform", 1L << 48);
            }
        } finally {
            out.close();
        }

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Examples of org.apache.mahout.math.jet.random.Gamma


        PrintWriter out = new PrintWriter(new FileOutputStream("sk-array-comparison.csv"));
        try {
            out.printf("tag\tcompression\tq\te1\tcdf.vs.q\tsize\tsk.size\n");
            for (int i = 0; i < repeats(); i++) {
                compareSQ(out, new Gamma(0.1, 0.1, rand), "gamma", 1L << 48);
                compareSQ(out, new Uniform(0, 1, rand), "uniform", 1L << 48);
            }
        } finally {
            out.close();
        }

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Examples of org.apache.mahout.math.jet.random.Gamma

        // the median is 0.006 and the 99.9th %-ile is 33.6 while the mean is 1.
        // this severe skew means that we have to have positional accuracy that
        // varies by over 11 orders of magnitude.
        Random gen = RandomUtils.getRandom();
        for (int i = 0; i < repeats(); i++) {
            runTest(factory, new Gamma(0.1, 0.1, gen), 100,
//                    new double[]{6.0730483624079e-30, 6.0730483624079e-20, 6.0730483627432e-10, 5.9339110446023e-03,
//                            2.6615455373884e+00, 1.5884778179295e+01, 3.3636770117188e+01},
                    new double[]{0.001, 0.01, 0.1, 0.5, 0.9, 0.99, 0.999},
                    "gamma", true);
        }

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Examples of org.apache.mahout.math.jet.random.Gamma

    public void compareToQDigest() throws FileNotFoundException {
        Random rand = RandomUtils.getRandom();
        PrintWriter out = new PrintWriter(new FileOutputStream("qd-tree-comparison.csv"));
        try {
            for (int i = 0; i < repeats(); i++) {
                compareQD(out, new Gamma(0.1, 0.1, rand), "gamma", 1L << 48);
                compareQD(out, new Uniform(0, 1, rand), "uniform", 1L << 48);
            }
        } finally {
            out.close();
        }

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Examples of org.apache.mahout.math.jet.random.Gamma


        PrintWriter out = new PrintWriter(new FileOutputStream("sq-tree-comparison.csv"));
        try {


            for (int i = 0; i < repeats(); i++) {
                compareSQ(out, new Gamma(0.1, 0.1, rand), "gamma", 1L << 48);
                compareSQ(out, new Uniform(0, 1, rand), "uniform", 1L << 48);
            }
        } finally {
            out.close();
        }

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Examples of org.apache.mahout.math.jet.random.Gamma

    private double alpha, beta;


    public BetaDistribution(double alpha, double beta, Random random) {
        this.alpha = alpha;
        this.beta = beta;
        gAlpha = new Gamma(alpha, 1, random);
        gBeta = new Gamma(beta, 1, random);
    }

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Examples of org.apache.tuscany.sca.itest.conversational.Gamma

    public Gamma gamma;


    public CallableReference<Gamma> getRef(int param) {
        ServiceReference<Gamma> gammaRef = componentContext
                .getServiceReference(Gamma.class, "gamma");
        Gamma g = gammaRef.getService();
        g.start(param);
        return gammaRef;
    }

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Examples of org.apache.tuscany.sca.itest.conversational.Gamma

    @Reference
    public Gamma gamma;


    public CallableReference<Gamma> getRef(int param) {
        ServiceReference<Gamma> gammaRef = componentContext.getServiceReference(Gamma.class, "gamma");
        Gamma g = gammaRef.getService();
        g.start(param);
        return gammaRef;
    }

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