Uses of Interface
gov.sandia.cognition.learning.algorithm.minimization.line.LineMinimizer

Packages that use LineMinimizer

Package	Description
gov.sandia.cognition.learning.algorithm.minimization	Provides minimization algorithms.
gov.sandia.cognition.learning.algorithm.minimization.line	Provides line (scalar) minimization algorithms.
gov.sandia.cognition.learning.algorithm.regression	Provides regression algorithms, such as Linear Regression.
gov.sandia.cognition.learning.algorithm.root	Provides algorithms for finding the roots, or zero crossings, of scalar functions.

Uses of LineMinimizer in gov.sandia.cognition.learning.algorithm.minimization

Fields in gov.sandia.cognition.learning.algorithm.minimization declared as LineMinimizer

Modifier and Type	Field and Description
static LineMinimizer<?>	FunctionMinimizerConjugateGradient.DEFAULT_LINE_MINIMIZER Default line minimization algorithm, LineMinimizerDerivativeBased
static LineMinimizer<?>	FunctionMinimizerDirectionSetPowell.DEFAULT_LINE_MINIMIZER Default line minimization algorithm, LineMinimizerDerivativeFree
static LineMinimizer<?>	FunctionMinimizerQuasiNewton.DEFAULT_LINE_MINIMIZER Default line minimization algorithm, LineMinimizerDerivativeBased

Methods in gov.sandia.cognition.learning.algorithm.minimization that return LineMinimizer

Modifier and Type	Method and Description
LineMinimizer<?>	FunctionMinimizerConjugateGradient.getLineMinimizer() Getter for lineMinimizer
LineMinimizer<?>	FunctionMinimizerDirectionSetPowell.getLineMinimizer() Getter for lineMinimizer
LineMinimizer<?>	FunctionMinimizerQuasiNewton.getLineMinimizer() Getter for lineMinimizer

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

Modifier and Type	Method and Description
void	FunctionMinimizerConjugateGradient.setLineMinimizer(LineMinimizer<?> lineMinimizer) Setter for lineMinimizer
void	FunctionMinimizerDirectionSetPowell.setLineMinimizer(LineMinimizer<?> lineMinimizer) Setter for lineMinimizer
void	FunctionMinimizerQuasiNewton.setLineMinimizer(LineMinimizer<?> lineMinimizer) Setter for lineMinimizer

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

Constructor and Description
FunctionMinimizerBFGS(LineMinimizer<?> lineMinimizer) Creates a new instance of FunctionMinimizerBFGS
FunctionMinimizerBFGS(LineMinimizer<?> lineMinimizer, Vector initialGuess, double tolerance, int maxIterations) Creates a new instance of FunctionMinimizerBFGS
FunctionMinimizerConjugateGradient(LineMinimizer<?> lineMinimizer, Vector initialGuess, double tolerance, int maxIterations) Creates a new instance of FunctionMinimizerConjugateGradient
FunctionMinimizerDFP(LineMinimizer<?> lineMinimizer) Creates a new instance of FunctionMinimizerBFGS
FunctionMinimizerDFP(LineMinimizer<?> lineMinimizer, Vector initialGuess, double tolerance, int maxIterations) Creates a new instance of FunctionMinimizerBFGS
FunctionMinimizerDirectionSetPowell(LineMinimizer<?> lineMinimizer) Creates a new instance of FunctionMinimizerDirectionSetPowell
FunctionMinimizerDirectionSetPowell(LineMinimizer<?> lineMinimizer, Vector initialGuess, double tolerance, int maxIterations) Creates a new instance of FunctionMinimizerDirectionSetPowell
FunctionMinimizerFletcherReeves(LineMinimizer<?> lineMinimizer) Creates a new instance of FunctionMinimizerPolakRibiere
FunctionMinimizerFletcherReeves(LineMinimizer<?> lineMinimizer, Vector initialGuess, double tolerance, int maxIterations) Creates a new instance of FunctionMinimizerConjugateGradient
FunctionMinimizerLiuStorey(LineMinimizer<?> lineMinimizer) Creates a new instance of FunctionMinimizerLiuStorey
FunctionMinimizerLiuStorey(LineMinimizer<?> lineMinimizer, Vector initialGuess, double tolerance, int maxIterations) Creates a new instance of FunctionMinimizerLiuStorey
FunctionMinimizerPolakRibiere(LineMinimizer<?> lineMinimizer) Creates a new instance of FunctionMinimizerPolakRibiere
FunctionMinimizerPolakRibiere(LineMinimizer<?> lineMinimizer, Vector initialGuess, double tolerance, int maxIterations) Creates a new instance of FunctionMinimizerConjugateGradient
FunctionMinimizerQuasiNewton(LineMinimizer<?> lineMinimizer, Vector initialGuess, double tolerance, int maxIterations) Creates a new instance of FunctionMinimizerBFGS

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

Classes in gov.sandia.cognition.learning.algorithm.minimization.line that implement LineMinimizer

Modifier and Type	Class and Description
class	AbstractAnytimeLineMinimizer<EvaluatorType extends Evaluator<java.lang.Double,java.lang.Double>> Partial AnytimeAlgorithm implementation of a LineMinimizer.
class	LineMinimizerBacktracking Implementation of the backtracking line-minimization algorithm.
class	LineMinimizerDerivativeBased This is an implementation of a line-minimization algorithm proposed by Fletcher that makes extensive use of first-order derivative information.
class	LineMinimizerDerivativeFree This is an implementation of a LineMinimizer that does not require derivative information.

Uses of LineMinimizer in gov.sandia.cognition.learning.algorithm.regression

Fields in gov.sandia.cognition.learning.algorithm.regression declared as LineMinimizer

Modifier and Type	Field and Description
static LineMinimizer<?>	FletcherXuHybridEstimation.DEFAULT_LINE_MINIMIZER Default line minimization algorithm, LineMinimizerDerivativeFree
static LineMinimizer<?>	GaussNewtonAlgorithm.DEFAULT_LINE_MINIMIZER Default line minimizer, LineMinimizerDerivativeBased.

Methods in gov.sandia.cognition.learning.algorithm.regression that return LineMinimizer

Modifier and Type	Method and Description
LineMinimizer<?>	FletcherXuHybridEstimation.getLineMinimizer() Getter for lineMinimizer
LineMinimizer<?>	GaussNewtonAlgorithm.getLineMinimizer() Getter for lineMinimizer

Methods in gov.sandia.cognition.learning.algorithm.regression with parameters of type LineMinimizer

Modifier and Type	Method and Description
void	FletcherXuHybridEstimation.setLineMinimizer(LineMinimizer<?> lineMinimizer) Setter for lineMinimizer
void	GaussNewtonAlgorithm.setLineMinimizer(LineMinimizer<?> lineMinimizer) Setter for lineMinimizer

Constructors in gov.sandia.cognition.learning.algorithm.regression with parameters of type LineMinimizer

Constructor and Description
FletcherXuHybridEstimation(LineMinimizer<?> lineMinimizer) Creates a new instance of FletcherXuHybridEstimation
FletcherXuHybridEstimation(LineMinimizer<?> lineMinimizer, double reductionTest) Creates a new instance of FletcherXuHybridEstimation
FletcherXuHybridEstimation(LineMinimizer<?> lineMinimizer, double reductionTest, double dampingFactorDivisor) Creates a new instance of FletcherXuHybridEstimation
FletcherXuHybridEstimation(LineMinimizer<?> lineMinimizer, double reductionTest, double dampingFactorDivisor, int maxIterations, double tolerance) Creates a new instance of FletcherXuHybridEstimation
GaussNewtonAlgorithm(LineMinimizer<?> lineMinimizer) Creates a new instance of GaussNewtonAlgorithm
GaussNewtonAlgorithm(LineMinimizer<?> lineMinimizer, int maxIterations, double tolerance) Creates a new instance of GaussNewtonAlgorithm

Uses of LineMinimizer in gov.sandia.cognition.learning.algorithm.root

Constructors in gov.sandia.cognition.learning.algorithm.root with parameters of type LineMinimizer

Constructor and Description
MinimizerBasedRootFinder(LineMinimizer<Evaluator<java.lang.Double,java.lang.Double>> algorithm) Creates a new instance of MinimizerBasedRootFinder