Parallel Colt 0.7.2

cern.jet.random.tfloat.sampling
Class FloatRandomSamplingAssistant

java.lang.Object
  extended by cern.colt.PersistentObject
      extended by cern.jet.random.tfloat.sampling.FloatRandomSamplingAssistant
All Implemented Interfaces:
Serializable, Cloneable

public class FloatRandomSamplingAssistant
extends PersistentObject

Conveniently computes a stable Simple Random Sample Without Replacement (SRSWOR) subsequence of n elements from a given input sequence of N elements; Example: Computing a sublist of n=3 random elements from a list (1,...,50) may yield the sublist (7,13,47). The subsequence is guaranteed to be stable, i.e. elements never change position relative to each other. Each element from the N elements has the same probability to be included in the n chosen elements. This class is a convenience adapter for RandomSampler using blocks.

Version:
1.0, 02/05/99
Author:
wolfgang.hoschek@cern.ch
See Also:
FloatRandomSampler, Serialized Form

Field Summary
 
Fields inherited from class cern.colt.PersistentObject
serialVersionUID
 
Constructor Summary
FloatRandomSamplingAssistant(long n, long N, FloatRandomEngine randomGenerator)
          Constructs a random sampler that samples n random elements from an input sequence of N elements.
 
Method Summary
 Object clone()
          Returns a deep copy of the receiver.
 FloatRandomEngine getRandomGenerator()
          Returns the used random generator.
static void main(String[] args)
          Tests random sampling.
static int[] sampleArray(int n, int[] elements)
          Just shows how this class can be used; samples n elements from and int[] array.
 boolean sampleNextElement()
          Returns whether the next element of the input sequence shall be sampled (picked) or not.
static void test(long n, long N)
          Tests the methods of this class.
static void testArraySampling(int n, int N)
          Tests the methods of this class.
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

FloatRandomSamplingAssistant

public FloatRandomSamplingAssistant(long n,
                                    long N,
                                    FloatRandomEngine randomGenerator)
Constructs a random sampler that samples n random elements from an input sequence of N elements.

Parameters:
n - the total number of elements to choose (must be >= 0).
N - number of elements to choose from (must be >= n).
randomGenerator - a random number generator. Set this parameter to null to use the default random number generator.
Method Detail

clone

public Object clone()
Returns a deep copy of the receiver.

Overrides:
clone in class PersistentObject
Returns:
a copy of the receiver.

getRandomGenerator

public FloatRandomEngine getRandomGenerator()
Returns the used random generator.


main

public static void main(String[] args)
Tests random sampling.


sampleArray

public static int[] sampleArray(int n,
                                int[] elements)
Just shows how this class can be used; samples n elements from and int[] array.


sampleNextElement

public boolean sampleNextElement()
Returns whether the next element of the input sequence shall be sampled (picked) or not.

Returns:
true if the next element shall be sampled (picked), false otherwise.

test

public static void test(long n,
                        long N)
Tests the methods of this class. To do benchmarking, comment the lines printing stuff to the console.


testArraySampling

public static void testArraySampling(int n,
                                     int N)
Tests the methods of this class. To do benchmarking, comment the lines printing stuff to the console.


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