gov.sandia.cognition.statistics.bayesian

Class AdaptiveRejectionSampling.AbstractEnvelope

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

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

gov.sandia.cognition.math.AbstractUnivariateScalarFunction

gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling.AbstractEnvelope

All Implemented Interfaces:

Evaluator<java.lang.Double,java.lang.Double>, ScalarFunction<java.lang.Double>, UnivariateScalarFunction, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Direct Known Subclasses:

AdaptiveRejectionSampling.LowerEnvelope, AdaptiveRejectionSampling.UpperEnvelope

Enclosing class:

AdaptiveRejectionSampling

public abstract class AdaptiveRejectionSampling.AbstractEnvelope
extends AbstractUnivariateScalarFunction

Describes an enveloping function comprised of a sorted sequence of lines

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected java.util.ArrayList<AdaptiveRejectionSampling.LineSegment>	lines Line segments that comprise the envelope

Constructor Summary

Constructors

Constructor and Description
AbstractEnvelope() Default constructor

Method Summary

Modifier and Type	Method and Description
AdaptiveRejectionSampling.AbstractEnvelope	clone() This makes public the clone method on the Object class and removes the exception that it throws.
protected abstract void	computeLines() Computes the line segments comprising this Envelope
double	evaluate(double input) Produces a double output for the given double input
protected AdaptiveRejectionSampling.LineSegment	findLineSegment(java.lang.Double input) Finds the line segment that contains the input
protected java.util.ArrayList<AdaptiveRejectionSampling.LineSegment>	getLines() Getter for lines
double	logEvaluate(java.lang.Double input) Evaluates the logarithm of the Envelope
void	resetLines() Resets the line segments

Methods inherited from class java.lang.Object

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

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

evaluate, evaluateAsDouble

Field Detail

lines

protected java.util.ArrayList<AdaptiveRejectionSampling.LineSegment> lines

Line segments that comprise the envelope

Constructor Detail

AbstractEnvelope

public AbstractEnvelope()

Default constructor

Method Detail

clone

public AdaptiveRejectionSampling.AbstractEnvelope clone()

Description copied from class: AbstractCloneableSerializable

This makes public the clone method on the Object class and removes the exception that it throws. Its default behavior is to automatically create a clone of the exact type of object that the clone is called on and to copy all primitives but to keep all references, which means it is a shallow copy. Extensions of this class may want to override this method (but call super.clone() to implement a "smart copy". That is, to target the most common use case for creating a copy of the object. Because of the default behavior being a shallow copy, extending classes only need to handle fields that need to have a deeper copy (or those that need to be reset). Some of the methods in ObjectUtil may be helpful in implementing a custom clone method. Note: The contract of this method is that you must use super.clone() as the basis for your implementation.

Specified by:

clone in interface CloneableSerializable

Overrides:

clone in class AbstractCloneableSerializable

Returns:

A clone of this object.

getLines

protected java.util.ArrayList<AdaptiveRejectionSampling.LineSegment> getLines()

Getter for lines

Returns:

Line segments that comprise the envelope

resetLines

public void resetLines()

Resets the line segments

computeLines

protected abstract void computeLines()

Computes the line segments comprising this Envelope

logEvaluate

public double logEvaluate(java.lang.Double input)

Evaluates the logarithm of the Envelope

Parameters:

input - Input to consider

Returns:

Logarithm of the Envelope

evaluate

public double evaluate(double input)

Description copied from interface: UnivariateScalarFunction

Produces a double output for the given double input

Parameters:

input - Input to the Evaluator

Returns:

output at the given input

findLineSegment

protected AdaptiveRejectionSampling.LineSegment findLineSegment(java.lang.Double input)

Finds the line segment that contains the input

Parameters:

input - Input to consider

Returns:

Line segment that contains the input