Uses of Class
edu.rit.util.Random

Packages that use Random
edu.rit.numeric Package edu.rit.numeric contains common classes for numerical computation. 
edu.rit.util Package edu.rit.util contains general utility components. 
 

Uses of Random in edu.rit.numeric
 

Fields in edu.rit.numeric declared as Random
protected  Random DoublePrng.myUniformPrng
          The underlying uniform PRNG.
 

Methods in edu.rit.numeric with parameters of type Random
 void RobustFit.fitWithDistribution(XYSeries data, int T, Random prng, double conf)
          Fit the given data series to the model and compute the distribution of the model parameters.
 

Constructors in edu.rit.numeric with parameters of type Random
BernoulliPrng(Random theUniformPrng)
          Construct a new Bernoulli PRNG with heads probability = 0.5.
BernoulliPrng(Random theUniformPrng, double p)
          Construct a new Bernoulli PRNG with the given heads probability.
DoublePrng(Random theUniformPrng)
          Construct a new double PRNG.
ExponentialPrng(Random theUniformPrng, double lambda)
          Construct a new exponential PRNG.
NormalPrng(Random theUniformPrng)
          Construct a new standard normal PRNG.
NormalPrng(Random theUniformPrng, double theMean, double theStdev)
          Construct a new normal PRNG with the given mean and standard deviation.
UniformPrng(Random theUniformPrng, double a, double b)
          Construct a new uniform PRNG.
 

Uses of Random in edu.rit.util
 

Subclasses of Random in edu.rit.util
 class DefaultRandom
          Class DefaultRandom provides a default pseudorandom number generator (PRNG) designed for use in parallel scientific programming.
 class Mcg1Random
          Class Mcg1Random provides a default pseudorandom number generator (PRNG) designed for use in parallel scientific programming.
 

Methods in edu.rit.util that return Random
static Random Random.getInstance(long seed)
          Construct a new PRNG with the given seed using the default algorithm.
static Random Random.getInstance(long seed, String algorithm)
          Construct a new PRNG with the given seed using the given algorithm.
 

Methods in edu.rit.util with parameters of type Random
static Iterator<Integer> RandomSample.withoutReplacement(Random prng, int n, int N)
          Create an iterator that generates a random sample of ints without replacement.
static int RandomSample.withoutReplacement(Random prng, int n, int N, int[] buf)
          Generate a random sample of ints without replacement.
static Iterator<Long> RandomSample.withoutReplacement(Random prng, int n, long N)
          Create an iterator that generates a random sample of longs without replacement.
static int RandomSample.withoutReplacement(Random prng, int n, long N, long[] buf)
          Generate a random sample of longs without replacement.
 

Constructors in edu.rit.util with parameters of type Random
RandomSubset(Random prng, int N)
          Construct a new random subset object for the original set consisting of the integers from 0 through N−1 inclusive.
RandomSubset(Random prng, int N, boolean dense)
          Construct a new random subset object for the original set consisting of the integers from 0 through N−1 inclusive.
 



Copyright © 2005-2012 by Alan Kaminsky. All rights reserved. Send comments to ark­@­cs.rit.edu.