Uses of Interface
com.irurueta.numerical.GradientFunctionEvaluatorListener

Packages that use GradientFunctionEvaluatorListener

Package	Description
com.irurueta.numerical	This library contains packages for:
com.irurueta.numerical.optimization

Uses of GradientFunctionEvaluatorListener in com.irurueta.numerical

Fields in com.irurueta.numerical declared as GradientFunctionEvaluatorListener

Modifier and Type	Field	Description
private GradientFunctionEvaluatorListener	DirectionalDerivativeEvaluator.gradientListener	Listener to evaluate a multidimensional function's gradient.

Methods in com.irurueta.numerical that return GradientFunctionEvaluatorListener

Modifier and Type	Method	Description
GradientFunctionEvaluatorListener	DirectionalDerivativeEvaluator.getGradientListener()	Returns gradient listener that evaluates a multidimensional function gradient.

Methods in com.irurueta.numerical with parameters of type GradientFunctionEvaluatorListener

Modifier and Type	Method	Description
void	DirectionalDerivativeEvaluator.setGradientListener(GradientFunctionEvaluatorListener gradientListener)	Sets gradient listener that evaluates a multidimensional function gradient.

Constructors in com.irurueta.numerical with parameters of type GradientFunctionEvaluatorListener

Modifier	Constructor	Description
	DirectionalDerivativeEvaluator(MultiDimensionFunctionEvaluatorListener listener, GradientFunctionEvaluatorListener gradientListener, double[] point, double[] direction)	Constructor.

Uses of GradientFunctionEvaluatorListener in com.irurueta.numerical.optimization

Fields in com.irurueta.numerical.optimization declared as GradientFunctionEvaluatorListener

Modifier and Type	Field	Description
private GradientFunctionEvaluatorListener	ConjugateGradientMultiOptimizer.gradientListener	Listener to obtain gradient values for the multi dimension function being evaluated.
protected GradientFunctionEvaluatorListener	DerivativeLineMultiOptimizer.gradientListener	Listener to evaluate the function's gradient.
(package private) GradientFunctionEvaluatorListener	QuasiNewtonMultiOptimizer.gradientListener	Listener to obtain gradient values for the multi dimension function being evaluated.

Methods in com.irurueta.numerical.optimization that return GradientFunctionEvaluatorListener

Modifier and Type	Method	Description
GradientFunctionEvaluatorListener	ConjugateGradientMultiOptimizer.getGradientListener()	Returns gradient listener in charge of obtaining gradient values for the function to be evaluated.
GradientFunctionEvaluatorListener	DerivativeLineMultiOptimizer.getGradientListener()	Returns gradient listener.
GradientFunctionEvaluatorListener	QuasiNewtonMultiOptimizer.getGradientListener()	Returns gradient listener in charge of obtaining gradient values for the function to be evaluated.

Methods in com.irurueta.numerical.optimization with parameters of type GradientFunctionEvaluatorListener

Modifier and Type	Method	Description
void	ConjugateGradientMultiOptimizer.setGradientListener(GradientFunctionEvaluatorListener gradientListener)	Sets gradient listener in charge of obtaining gradient values for the function to be evaluated.
void	DerivativeLineMultiOptimizer.setGradientListener(GradientFunctionEvaluatorListener gradientListener)	Sets gradient listener.
void	QuasiNewtonMultiOptimizer.setGradientListener(GradientFunctionEvaluatorListener gradientListener)	Sets gradient listener in charge of obtaining gradient values for the function to be evaluated.

Constructors in com.irurueta.numerical.optimization with parameters of type GradientFunctionEvaluatorListener

Modifier	Constructor	Description
	ConjugateGradientMultiOptimizer(MultiDimensionFunctionEvaluatorListener listener, GradientFunctionEvaluatorListener gradientListener, double[] point, double[] direction, double tolerance, boolean usePolakRibiere)	Constructor.
	ConjugateGradientMultiOptimizer(MultiDimensionFunctionEvaluatorListener listener, GradientFunctionEvaluatorListener gradientListener, double[] point, double tolerance, boolean usePolakRibiere)	Constructor.
	DerivativeConjugateGradientMultiOptimizer(MultiDimensionFunctionEvaluatorListener listener, GradientFunctionEvaluatorListener gradientListener, double[] point, double[] direction, double tolerance, boolean usePolakRibiere)	Constructor.
protected	DerivativeLineMultiOptimizer(MultiDimensionFunctionEvaluatorListener listener, GradientFunctionEvaluatorListener gradientListener, double[] point, double[] direction)	Constructor.
	QuasiNewtonMultiOptimizer(MultiDimensionFunctionEvaluatorListener listener, GradientFunctionEvaluatorListener gradientListener, double tolerance)	Constructor.
	QuasiNewtonMultiOptimizer(MultiDimensionFunctionEvaluatorListener listener, GradientFunctionEvaluatorListener gradientListener, double[] startPoint, double tolerance)	Constructor.