Uses of Class
gov.sandia.cognition.learning.algorithm.minimization.line.InputOutputSlopeTriplet

Packages that use InputOutputSlopeTriplet

Package	Description
gov.sandia.cognition.learning.algorithm.minimization.line	Provides line (scalar) minimization algorithms.
gov.sandia.cognition.learning.function.scalar	Provides functions that output real numbers.

Uses of InputOutputSlopeTriplet in gov.sandia.cognition.learning.algorithm.minimization.line

Methods in gov.sandia.cognition.learning.algorithm.minimization.line that return InputOutputSlopeTriplet

Modifier and Type	Method and Description
InputOutputSlopeTriplet	InputOutputSlopeTriplet.clone()
InputOutputSlopeTriplet	LineMinimizerDerivativeBased.InternalFunction.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).
InputOutputSlopeTriplet	LineBracket.getLowerBound() Getter for lowerBound
InputOutputSlopeTriplet	WolfeConditions.getOriginalPoint() Getter for originalPoint
InputOutputSlopeTriplet	LineBracket.getOtherPoint() Getter for otherPoint
InputOutputSlopeTriplet	LineBracket.getUpperBound() Getter for upperBound

Methods in gov.sandia.cognition.learning.algorithm.minimization.line with parameters of type InputOutputSlopeTriplet

Modifier and Type	Method and Description
InputOutputSlopeTriplet	LineMinimizerDerivativeBased.InternalFunction.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).
boolean	WolfeConditions.evaluate(InputOutputSlopeTriplet trialPoint) Evaluates if the trial point meets the Wolfe conditions
static boolean	WolfeConditions.evaluateGoldsteinCondition(InputOutputSlopeTriplet originalPoint, InputOutputPair<java.lang.Double,java.lang.Double> trialPoint, double slopeCondition) Evaluates the Goldstein (Armijo) conditions, which is purely a sufficient decrease condition.
void	LineBracket.setLowerBound(InputOutputSlopeTriplet lowerBound) Setter for lowerBound
void	WolfeConditions.setOriginalPoint(InputOutputSlopeTriplet originalPoint) Setter for originalPoint
void	LineBracket.setOtherPoint(InputOutputSlopeTriplet otherPoint) Setter for otherPoint
void	LineBracket.setUpperBound(InputOutputSlopeTriplet upperBound) Setter for upperBound

Constructors in gov.sandia.cognition.learning.algorithm.minimization.line with parameters of type InputOutputSlopeTriplet

Constructor and Description
InputOutputSlopeTriplet(InputOutputSlopeTriplet other) Copy constructor
LineBracket(InputOutputSlopeTriplet lowerBound, InputOutputSlopeTriplet upperBound, InputOutputSlopeTriplet otherPoint) Creates a new instance of LineBracket
WolfeConditions(InputOutputSlopeTriplet originalPoint, double slopeCondition, double curvatureCondition) Creates a new instance of WolfeConditions

Uses of InputOutputSlopeTriplet in gov.sandia.cognition.learning.function.scalar

Methods in gov.sandia.cognition.learning.function.scalar with parameters of type InputOutputSlopeTriplet

Modifier and Type	Method and Description
static PolynomialFunction.Linear	PolynomialFunction.Linear.fit(InputOutputSlopeTriplet p0) Fits a linear (stright-line) curve to the given data point
static PolynomialFunction.Quadratic	PolynomialFunction.Quadratic.fit(InputOutputSlopeTriplet p0, InputOutputPair<java.lang.Double,java.lang.Double> p1) Fits a quadratic to two points, one of which has slope information.
static PolynomialFunction.Cubic	PolynomialFunction.Cubic.fit(InputOutputSlopeTriplet p0, InputOutputSlopeTriplet p1) Fits a cubic to two InputOutputSlopeTriplets using a closed-form solution