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

java.lang.Object
  extended by gov.sandia.cognition.util.AbstractCloneableSerializable
      extended by gov.sandia.cognition.math.AbstractScalarFunction<Double>
          extended by gov.sandia.cognition.math.AbstractUnivariateScalarFunction
              extended by gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling.AbstractEnvelope
All Implemented Interfaces:
Evaluator<Double,Double>, ScalarFunction<Double>, UnivariateScalarFunction, CloneableSerializable, Serializable, 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
protected  ArrayList<AdaptiveRejectionSampling.LineSegment> lines
          Line segments that comprise the envelope
 
Constructor Summary
AdaptiveRejectionSampling.AbstractEnvelope()
          Default constructor
 
Method Summary
 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(Double input)
          Finds the line segment that contains the input
protected  ArrayList<AdaptiveRejectionSampling.LineSegment> getLines()
          Getter for lines
 double logEvaluate(Double input)
          Evaluates the logarithm of the Envelope
 void resetLines()
          Resets the line segments
 
Methods inherited from class gov.sandia.cognition.math.AbstractUnivariateScalarFunction
evaluate, evaluateAsDouble
 
Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

lines

protected ArrayList<AdaptiveRejectionSampling.LineSegment> lines
Line segments that comprise the envelope

Constructor Detail

AdaptiveRejectionSampling.AbstractEnvelope

public AdaptiveRejectionSampling.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 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(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(Double input)
Finds the line segment that contains the input

Parameters:
input - Input to consider
Returns:
Line segment that contains the input