Examples of cern.jet.random.Poisson

cern.jet.random.Poisson

ern.ch/RD11/rkb/AN16pp/node208.html#SECTION0002080000000000000000"> math definition and animated definition.

p(k) = (mean^k / k!) * exp(-mean) for k >= 0.

Valid parameter ranges: mean > 0. Note: if mean <= 0.0 then always returns zero.

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: High performance implementation. Patchwork Rejection/Inversion method.

This is a port of pprsc.c from the C-RAND / WIN-RAND library. C-RAND's implementation, in turn, is based upon

H. Zechner (1994): Efficient sampling from continuous and discrete unimodal distributions, Doctoral Dissertation, 156 pp., Technical University Graz, Austria.

Also see

Stadlober E., H. Zechner (1999), The patchwork rejection method for sampling from unimodal distributions, to appear in ACM Transactions on Modelling and Simulation. @author wolfgang.hoschek@cern.ch @version 1.0, 09/24/99

    ////                         protected methods                 ////


    /** Method that is called after _randomNumberGenerator is changed.
     */
    protected void _createdNewRandomNumberGenerator() {
        _generator = new Poisson(1.0, _randomNumberGenerator);
    }

        halfReadLength = readLength / 2;
        errorRate = QualityUtils.qualToErrorProb((byte)phredErrorRate);
        readQuals = new byte[readLength];
        Arrays.fill(readQuals, (byte)phredErrorRate);
        if ( samplingMode == ReadSamplingMode.POISSON )
           poissonRandom = new Poisson(readDepth, new MersenneTwister((int)RANDOM_SEED));
    }

Examples of cern.jet.random.Poisson

Related Classes of cern.jet.random.Poisson