BaseRandomAlgorithm (coda-calibration 1.0.22 API)

java.lang.Object

llnl.gnem.core.util.randomNumbers.BaseRandomAlgorithm

All Implemented Interfaces:: RandomAlgorithm

Direct Known Subclasses:: SimpleRandom

public abstract class BaseRandomAlgorithm extends Object implements RandomAlgorithm

Author:: dodge1

Constructor Summary

Constructors

Constructor

Description

BaseRandomAlgorithm()
Method Summary

Modifier and Type

Method

Description

double

getBoundedDouble(double lower, double upper)

int

getBoundedInt(int lower, int upper)

abstract double

nextDouble()

double

nextGaussian(double mean, double std)

Produce a normally-distributed deviate using Box-Muller transformation.

abstract int

nextInt()

abstract int

nextInt(int n)

abstract long

nextLong()

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface llnl.gnem.core.util.randomNumbers.RandomAlgorithm
resetSeed

Constructor Details
- BaseRandomAlgorithm
  
  public BaseRandomAlgorithm()
Method Details
- nextDouble
  
  public abstract double nextDouble()
  
  Specified by:
  
  nextDouble in interface RandomAlgorithm
- nextInt
  
  public abstract int nextInt()
  
  Specified by:
  
  nextInt in interface RandomAlgorithm
- nextInt
  
  public abstract int nextInt(int n)
  
  Specified by:
  
  nextInt in interface RandomAlgorithm
- nextLong
  
  public abstract long nextLong()
  
  Specified by:
  
  nextLong in interface RandomAlgorithm
- getBoundedInt
  
  public int getBoundedInt(int lower, int upper)
  
  Specified by:
  
  getBoundedInt in interface RandomAlgorithm
- getBoundedDouble
  
  public double getBoundedDouble(double lower, double upper)
  
  Specified by:
  
  getBoundedDouble in interface RandomAlgorithm
- nextGaussian
  
  public double nextGaussian(double mean, double std)
  
  Produce a normally-distributed deviate using Box-Muller transformation. Adapted from Numerical Recipes P. 203
  
  Specified by:
  
  nextGaussian in interface RandomAlgorithm
  
  Parameters:
  
  mean -
  
  std -
  
  Returns:
  
  normal deviate