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riso.distributions
Class Uniform  

java.lang.Object
  riso.distributions.AbstractDistribution
      riso.distributions.Uniform

All Implemented Interfaces:

ConditionalDistribution, Distribution, java.io.Serializable

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public class Uniform

extends AbstractDistribution

An instance of this class represents a uniform distribution over an interval. Rectangles and hyper-rectangles are not supported; maybe they should be.

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Field Summary
double	a           The left end of the interval on which this uniform distribution is defined.
double	b           The right end of the interval on which this uniform distribution is defined.

 

Fields inherited from class riso.distributions.AbstractDistribution

associated_variable

 

Constructor Summary

Uniform()           Empty constructor so objects can be constructed from description files.

Uniform(double a, double b)           Construct a uniform distribution from the specified endpoints.

 

Method Summary
double	cdf(double x)           Compute the cumulative distribution function.
java.lang.Object	clone()           Create and return a copy of this uniform distribution.
double[]	effective_support(double epsilon)           Returns the support of this distribution.
double	expected_value()           Returns the expected value of this distribution.
java.lang.String	format_string(java.lang.String leading_ws)           Format this uniform distribution into a string, which can be parsed by parse_string.
MixGaussians	initial_mix(double[] support)           Returns an approximation containing several components.
int	ndimensions()           Always returns 1.
double	p(double[] x)           Compute the density at the point x.
void	pretty_input(riso.general.SmarterTokenizer st)           Inputs the parameters of this uniform distribution from a stream.
double[]	random()           Returns a random number drawn from the interval [a,b].
double	sqrt_variance()           Returns the square root of the variance of this distribution.

 

Methods inherited from class riso.distributions.AbstractDistribution

get_density, get_nstates, log_p, log_prior, ndimensions_child, ndimensions_parent, p, parse_string, pretty_output, random, set_variable, toString, update

 

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

 

Field Detail

a

public double a

The left end of the interval on which this uniform distribution is defined.

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b

public double b

The right end of the interval on which this uniform distribution is defined.

Constructor Detail

Uniform

public Uniform()

Empty constructor so objects can be constructed from description files.

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Uniform

public Uniform(double a,
               double b)

Construct a uniform distribution from the specified endpoints.

Method Detail

clone

public java.lang.Object clone()
                       throws java.lang.CloneNotSupportedException

Create and return a copy of this uniform distribution.

Specified by:

clone in interface ConditionalDistribution

Overrides:

clone in class AbstractDistribution

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ndimensions

public int ndimensions()

Always returns 1.

Specified by:

ndimensions in interface Distribution

Overrides:

ndimensions in class AbstractDistribution

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cdf

public double cdf(double x)
           throws java.lang.Exception

Compute the cumulative distribution function.

Specified by:

cdf in interface Distribution

Overrides:

cdf in class AbstractDistribution

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p

public double p(double[] x)

Compute the density at the point x. This returns 1/(b-a) if x is between a and b, inclusive, and zero otherwise.

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random

public double[] random()

Returns a random number drawn from the interval [a,b].

Specified by:

random in interface Distribution

Overrides:

random in class AbstractDistribution

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pretty_input

public void pretty_input(riso.general.SmarterTokenizer st)
                  throws java.io.IOException

Inputs the parameters of this uniform distribution from a stream.

Overrides:

pretty_input in class AbstractDistribution

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format_string

public java.lang.String format_string(java.lang.String leading_ws)

Format this uniform distribution into a string, which can be parsed by parse_string.

Specified by:

format_string in interface ConditionalDistribution

Overrides:

format_string in class AbstractDistribution

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expected_value

public double expected_value()

Returns the expected value of this distribution.

Specified by:

expected_value in interface Distribution

Overrides:

expected_value in class AbstractDistribution

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sqrt_variance

public double sqrt_variance()

Returns the square root of the variance of this distribution.

Specified by:

sqrt_variance in interface Distribution

Overrides:

sqrt_variance in class AbstractDistribution

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effective_support

public double[] effective_support(double epsilon)

Returns the support of this distribution.

Specified by:

effective_support in interface Distribution

Overrides:

effective_support in class AbstractDistribution

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initial_mix

public MixGaussians initial_mix(double[] support)

Returns an approximation containing several components. The approximation is not very good.

Specified by:

initial_mix in interface Distribution

Overrides:

initial_mix in class AbstractDistribution

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Home >> All >> riso >> [ distributions overview ]	PREV CLASS  NEXT CLASS
SUMMARY:  JAVADOC |  SOURCE |  DOWNLOAD | NESTED | FIELD | CONSTR | METHOD	DETAIL: FIELD | CONSTR | METHOD

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