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

Class LineBracketInterpolatorHermiteCubic

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.AbstractLineBracketInterpolator<EvaluatorType>

gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.AbstractLineBracketInterpolatorPolynomial<DifferentiableUnivariateScalarFunction>

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

All Implemented Interfaces:

LineBracketInterpolator<DifferentiableUnivariateScalarFunction>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

public class LineBracketInterpolatorHermiteCubic
extends AbstractLineBracketInterpolatorPolynomial<DifferentiableUnivariateScalarFunction>

Interpolates using a cubic with two points, both of which must have slope information. If slope information is not present, then the interpolator will call the differentiate() method on the Evaluator.

Since:

2.1

Author:

Kevin R. Dixon

See Also:

Serialized Form

Field Summary

Fields inherited from class gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.AbstractLineBracketInterpolator

DEFAULT_TOLERANCE

Constructor Summary

Constructors

Constructor and Description
LineBracketInterpolatorHermiteCubic() Creates a new instance of LineBracketInterpolatorHermiteCubic

Method Summary

Modifier and Type	Method and Description
PolynomialFunction.ClosedForm	computePolynomial(LineBracket bracket, DifferentiableUnivariateScalarFunction function) Fits the interpolating polynomial to the given LineBracket
boolean	hasSufficientPoints(LineBracket bracket) Determines if the LineBracket contains a sufficient number/quality of points to conduct the interpolation.

Methods inherited from class gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.AbstractLineBracketInterpolatorPolynomial

findMinimum

Methods inherited from class gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.AbstractLineBracketInterpolator

getTolerance, setTolerance

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.util.CloneableSerializable

clone

Constructor Detail

LineBracketInterpolatorHermiteCubic

public LineBracketInterpolatorHermiteCubic()

Creates a new instance of LineBracketInterpolatorHermiteCubic

Method Detail

computePolynomial

public PolynomialFunction.ClosedForm computePolynomial(LineBracket bracket,
                                                       DifferentiableUnivariateScalarFunction function)

Description copied from class: AbstractLineBracketInterpolatorPolynomial

Fits the interpolating polynomial to the given LineBracket

Specified by:

computePolynomial in class AbstractLineBracketInterpolatorPolynomial<DifferentiableUnivariateScalarFunction>

Parameters:

bracket - LineBracket to consider

function - Function to use to fill in missing information

Returns:

Interpolating polynomial

hasSufficientPoints

public boolean hasSufficientPoints(LineBracket bracket)

Description copied from interface: LineBracketInterpolator

Determines if the LineBracket contains a sufficient number/quality of points to conduct the interpolation.

Parameters:

bracket - LineBracket to consider

Returns:

true if the LineBracket has a sufficient number of points, false if the LineBracket doesn't have enough.