gov.sandia.cognition.statistics.bayesian

Class AdaptiveRejectionSampling.LineSegment

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.math.AbstractScalarFunction<java.lang.Double>

gov.sandia.cognition.math.AbstractUnivariateScalarFunction

gov.sandia.cognition.math.AbstractDifferentiableUnivariateScalarFunction

gov.sandia.cognition.learning.function.scalar.PolynomialFunction.Linear

gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling.LineSegment

All Implemented Interfaces:

Evaluator<java.lang.Double,java.lang.Double>, PolynomialFunction.ClosedForm, DifferentiableEvaluator<java.lang.Double,java.lang.Double,java.lang.Double>, DifferentiableUnivariateScalarFunction, ScalarFunction<java.lang.Double>, UnivariateScalarFunction, CloneableSerializable, java.io.Serializable, java.lang.Cloneable, java.lang.Comparable<java.lang.Double>

Enclosing class:

AdaptiveRejectionSampling

public static class AdaptiveRejectionSampling.LineSegment
extends PolynomialFunction.Linear
implements java.lang.Comparable<java.lang.Double>

A line that has a minimum and maximum support (x-axis) value.

See Also:

Serialized Form

Field Summary

Fields inherited from class gov.sandia.cognition.learning.function.scalar.PolynomialFunction.Linear

COLLINEAR_TOLERANCE

Constructor Summary

Constructors

Constructor and Description
LineSegment(PolynomialFunction.Linear line, double left, double right) Creates a new instance of LineSegment

Method Summary

Modifier and Type	Method and Description
int	compareTo(java.lang.Double o)
double	integrateExp() Integrates the exponent of the line segment
double	sampleExp(double p) Sample from the exponent of the line segment

Methods inherited from class gov.sandia.cognition.learning.function.scalar.PolynomialFunction.Linear

clone, differentiate, evaluate, fit, fit, getQ0, getQ1, roots, setQ0, setQ1, stationaryPoints, toString

Methods inherited from class java.lang.Object

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

Methods inherited from interface gov.sandia.cognition.math.DifferentiableUnivariateScalarFunction

differentiate

Methods inherited from interface gov.sandia.cognition.math.UnivariateScalarFunction

evaluate, evaluateAsDouble

Constructor Detail

LineSegment

public LineSegment(PolynomialFunction.Linear line,
                   double left,
                   double right)

Creates a new instance of LineSegment

Parameters:

line - The line

left - Left (minimum) x-axis value

right - Right (maximum) x-axis value

Method Detail

sampleExp

public double sampleExp(double p)

Sample from the exponent of the line segment

Parameters:

p - Probability into the line segment

Returns:

Sample (x-axis) value into the line segment

integrateExp

public double integrateExp()

Integrates the exponent of the line segment

Returns:

Integral of the exponent of the line segment

compareTo

public int compareTo(java.lang.Double o)

Specified by:

compareTo in interface java.lang.Comparable<java.lang.Double>