NonlinearConjugateGradientOptimizer.h File Reference

Simple non-linear optimizer that solves using non-preconditioned CG. More...

#include <gtsam/base/Manifold.h>
#include <gtsam/nonlinear/NonlinearOptimizer.h>
#include <stdexcept>

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Classes
class	gtsam::NonlinearConjugateGradientOptimizer
class	gtsam::NonlinearConjugateGradientOptimizer::System

Namespaces
	gtsam
	traits

Enumerations
enum	gtsam::DirectionMethod { gtsam::DirectionMethod::FletcherReeves, gtsam::DirectionMethod::PolakRibiere, gtsam::DirectionMethod::HestenesStiefel, gtsam::DirectionMethod::DaiYuan }

Functions
template<typename Gradient >
double	gtsam::DaiYuan (const Gradient &currentGradient, const Gradient &prevGradient, const Gradient &direction)
	The Dai-Yuan formula for computing β, the direction of steepest descent. More...
template<typename Gradient >
double	gtsam::FletcherReeves (const Gradient &currentGradient, const Gradient &prevGradient)
	Fletcher-Reeves formula for computing β, the direction of steepest descent. More...
template<typename Gradient >
double	gtsam::HestenesStiefel (const Gradient &currentGradient, const Gradient &prevGradient, const Gradient &direction)
template<class S , class V , class W >
double	gtsam::lineSearch (const S &system, const V currentValues, const W &gradient)
template<class S , class V >
std::tuple< V, int >	gtsam::nonlinearConjugateGradient (const S &system, const V &initial, const NonlinearOptimizerParams &params, const bool singleIteration, const DirectionMethod &directionMethod=DirectionMethod::PolakRibiere, const bool gradientDescent=false)
template<typename Gradient >
double	gtsam::PolakRibiere (const Gradient &currentGradient, const Gradient &prevGradient)
	Polak-Ribiere formula for computing β, the direction of steepest descent. More...

Detailed Description

Simple non-linear optimizer that solves using non-preconditioned CG.

Author

Yong-Dian Jian

Date

June 11, 2012

Definition in file NonlinearConjugateGradientOptimizer.h.