cern.jet.random.tdouble.sampling

Class WeightedDoubleRandomSampler

java.lang.Object

cern.colt.PersistentObject

cern.jet.random.tdouble.sampling.WeightedDoubleRandomSampler

All Implemented Interfaces:

Serializable, Cloneable

public class WeightedDoubleRandomSampler
extends PersistentObject

Conveniently computes a stable subsequence of elements from a given input sequence; Picks (samples) exactly one random element from successive blocks of weight input elements each. For example, if weight==2 (a block is 2 elements), and the input is 5*2=10 elements long, then picks 5 random elements from the 10 elements such that one element is randomly picked from the first block, one element from the second block, ..., one element from the last block. weight == 1.0 --> all elements are picked (sampled). weight == 10.0 --> Picks one random element from successive blocks of 10 elements each. Etc. The subsequence is guaranteed to be stable, i.e. elements never change position relative to each other.

Version:

1.0, 02/05/99

Author:

wolfgang.hoschek@cern.ch

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
WeightedDoubleRandomSampler() Calls BlockedRandomSampler(1,null).
WeightedDoubleRandomSampler(int weight, DoubleRandomEngine randomGenerator) Chooses exactly one random element from successive blocks of weight input elements each.

Method Summary

Methods

Modifier and Type	Method and Description
Object	clone() Returns a deep copy of the receiver.
int	getWeight()
boolean	sampleNextElement() Chooses exactly one random element from successive blocks of weight input elements each.
void	setWeight(int weight) Not yet commented.
static void	test(int weight, int size) Not yet commented.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

WeightedDoubleRandomSampler

public WeightedDoubleRandomSampler()

Calls BlockedRandomSampler(1,null).

WeightedDoubleRandomSampler

public WeightedDoubleRandomSampler(int weight,
                           DoubleRandomEngine randomGenerator)

Chooses exactly one random element from successive blocks of weight input elements each. For example, if weight==2, and the input is 5*2=10 elements long, then chooses 5 random elements from the 10 elements such that one is chosen from the first block, one from the second, ..., one from the last block. weight == 1.0 --> all elements are consumed (sampled). 10.0 --> Consumes one random element from successive blocks of 10 elements each. Etc.

Parameters:

weight - the weight.

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.

getWeight

public int getWeight()

sampleNextElement

public boolean sampleNextElement()

Chooses exactly one random element from successive blocks of weight input elements each. For example, if weight==2, and the input is 5*2=10 elements long, then chooses 5 random elements from the 10 elements such that one is chosen from the first block, one from the second, ..., one from the last block.

Returns:

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

setWeight

public void setWeight(int weight)

Not yet commented.

Parameters:

weight - int

test

public static void test(int weight,
        int size)

Not yet commented.