gov.sandia.cognition.learning.algorithm.minimization.line

Class LineMinimizerDerivativeBased.InternalFunction

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.algorithm.minimization.line.LineMinimizerDerivativeBased.InternalFunction

All Implemented Interfaces:

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

Enclosing class:

LineMinimizerDerivativeBased

public class LineMinimizerDerivativeBased.InternalFunction
extends AbstractDifferentiableUnivariateScalarFunction

Internal function used to map/remap/unmap the search direction.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
InternalFunction()

Method Summary

Modifier and Type	Method and Description
protected double	convertInputFromInternal(double internalInput) Converts the internal x-axis value to real-world x-axis value
InputOutputSlopeTriplet	convertInputFromInternal(InputOutputSlopeTriplet internalPoint) Converts an InternalFunction InputOutputSlopeTriplet to a real-world InputOutputSlopeTriplet by unreflection and flipping the sign of the slope (if the direction of search was backward).
double	convertInputToInternal(double input) Converts a real-world "x" value to the internal values used inside the search algorithm.
double	differentiate(double internalInput) Differentiates the output of the function about the given input
double	evaluate(double internalInput) Produces a double output for the given double input

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

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.DifferentiableUnivariateScalarFunction

differentiate

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

evaluate, evaluateAsDouble

Constructor Detail

InternalFunction

public InternalFunction()

Method Detail

convertInputToInternal

public double convertInputToInternal(double input)

Converts a real-world "x" value to the internal values used inside the search algorithm. This compensates for reflecting the search space

Parameters:

input - Input value in the real-world

Returns:

X-axis value to send to the InternalFunction

convertInputFromInternal

protected double convertInputFromInternal(double internalInput)

Converts the internal x-axis value to real-world x-axis value

Parameters:

internalInput - internalInput to convert

Returns:

real-world x-axis value

convertInputFromInternal

public InputOutputSlopeTriplet convertInputFromInternal(InputOutputSlopeTriplet internalPoint)

Converts an InternalFunction InputOutputSlopeTriplet to a real-world InputOutputSlopeTriplet by unreflection and flipping the sign of the slope (if the direction of search was backward).

Parameters:

internalPoint - InternalFunction-based point to manipulate

Returns:

Real-world value

evaluate

public double evaluate(double internalInput)

Description copied from interface: UnivariateScalarFunction

Produces a double output for the given double input

Parameters:

internalInput - Input to the Evaluator

Returns:

output at the given input

differentiate

public double differentiate(double internalInput)

Description copied from interface: DifferentiableUnivariateScalarFunction

Differentiates the output of the function about the given input

Parameters:

internalInput - Input about which to compute the derivative of the function output

Returns:

Derivative of the output with respect to the input