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

org.apache.commons.math.random.RandomDataImpl
Implements the {@link RandomData} interface using a {@link RandomGenerator}instance to generate non-secure data and a {@link java.security.SecureRandom}instance to provide data for the nextSecureXxx methods. If no RandomGenerator is provided in the constructor, the default is to use a generator based on {@link java.util.Random}. To plug in a different implementation, either implement RandomGenerator directly or extend {@link AbstractRandomGenerator}.
Supports reseeding the underlying pseudo-random number generator (PRNG). The SecurityProvider and Algorithm used by the SecureRandom instance can also be reset.

For details on the default PRNGs, see {@link java.util.Random} and{@link java.security.SecureRandom}.

Usage Notes:
- Instance variables are used to maintain RandomGenerator and SecureRandom instances used in data generation. Therefore, to generate a random sequence of values or strings, you should use just one RandomDataImpl instance repeatedly.
- The "secure" methods are *much* slower. These should be used only when a cryptographically secure random sequence is required. A secure random sequence is a sequence of pseudo-random values which, in addition to being well-dispersed (so no subsequence of values is an any more likely than other subsequence of the the same length), also has the additional property that knowledge of values generated up to any point in the sequence does not make it any easier to predict subsequent values.
- When a new RandomDataImpl is created, the underlying random number generators are not initialized. If you do not explicitly seed the default non-secure generator, it is seeded with the current time in milliseconds on first use. The same holds for the secure generator. If you provide a RandomGenerator to the constructor, however, this generator is not reseeded by the constructor nor is it reseeded on first use.
- The reSeed and reSeedSecure methods delegate to the corresponding methods on the underlying RandomGenerator and SecureRandom instances. Therefore, reSeed(long) fully resets the initial state of the non-secure random number generator (so that reseeding with a specific value always results in the same subsequent random sequence); whereas reSeedSecure(long) does not reinitialize the secure random number generator (so secure sequences started with calls to reseedSecure(long) won't be identical).
- This implementation is not synchronized.
@version $Revision: 1061496 $ $Date: 2011-01-20 21:32:16 +0100 (jeu. 20 janv. 2011) $

import dclong.util.Timer;


public class TestSPTsRep {
  public static void main(String[] args) throws IOException{
    RandomGenerator rg = new Well44497b(31);
    RandomDataImpl rng = new RandomDataImpl(rg);
    int sizeOfEachDataSet = 26;
    int sizeOfFirstGroup = 5;
    int numberOfTests = 12625;
    Combination comb = new Combination(sizeOfEachDataSet,sizeOfFirstGroup);
    int[][] cs = comb.getCombinations(comb.getTotal().intValue());

View Full Code Here

import dclong.util.Timer;


public class TestSPTsImpl {
  public static void main(String[] args) throws IOException{
    RandomGenerator rg = new Well44497b(31);
    RandomDataImpl rng = new RandomDataImpl(rg);
//    int sizeOfEachDataSet = 16;
    int sizeOfEachDataSet = 26;
//    int sizeOfFirstGroup = 8;
    int sizeOfFirstGroup = 5;
//    int numberOfTests = 10000;

View Full Code Here

import dclong.util.Timer;


public class TestSPTsRunnable {
  public static void main(String[] args) throws IOException{
    RandomGenerator rg = new Well44497b(31);
    RandomDataImpl rng = new RandomDataImpl(rg);
//    int numberOfTests = 12625;
    int numberOfTests = 10000;
//    int sizeOfEachDataSet = 26;
    int sizeOfEachDataSet = 16;
//    int sizeOfFirstGroup = 5;

View Full Code Here

import dclong.util.Timer;


public class TestSPTsSimulation {
  public static void main(String[] args) throws IOException {
    RandomGenerator rg = new Well44497b(31);
    RandomDataImpl rng = new RandomDataImpl(rg);
    // warm up RNG to avoid overlap of the Table-2 job
    Timer timer = new Timer();
    int upperBound = Combination.choose(26, 5).intValue() - 1;
    for (int i = 0; i < 130000000; ++i) {
      for(int j=0; j<100; ++j){
        rng.nextInt(0, upperBound);
      }
    }
    timer.stop();
    System.out.println("Warm-up is done. The time used is " + timer.getElapsedTime()/60000d + " minutes.");
    // -------------------------------------------------------------

View Full Code Here

0 1 2 3 4 5 6

TOP

Related Classes of org.apache.commons.math.random.RandomDataImpl

br.com.six2six.bfgex.RandomGen

complex1.RunMCMC

cu.repsystestbed.util.DefaultArffFeedbackGenerator

normal1.RunSimpleMCMC

normal2.RunMCMC

normal2.RunSimpleMCMC

org.apache.accumulo.test.randomwalk.concurrent.Config

org.apache.commons.math.distribution.BetaDistributionImpl

org.apache.commons.math.distribution.BinomialDistributionImpl

org.apache.commons.math.distribution.CauchyDistributionImpl

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.