1#ifndef LINEARALGEBRA_SRC_MOLPRO_LINALG_ITSOLV_OPTIMIZEOPTIONSBFGS_H
2#define LINEARALGEBRA_SRC_MOLPRO_LINALG_ITSOLV_OPTIMIZEOPTIONSBFGS_H
3#include <molpro/linalg/itsolv/Options.h>
4-parameter interpolation of a 1-dimensional function given two points for which function values and ...
Definition: helper.h:10
std::map< std::string, std::string > options_map
Definition: options_map.h:8
Allows setting and getting of options for OptimizeBFGS instance via IterativeSolver base class.
Definition: OptimizeBFGSOptions.h:9
std::optional< double > quasinewton_maximum_step
Quasi-Newton steps with an L-2 norm larger than this will be scaled down to this value.
Definition: OptimizeBFGSOptions.h:22
std::optional< double > norm_thresh
Definition: OptimizeBFGSOptions.h:13
std::optional< double > Wolfe_2
Acceptance parameter for function gradient.
Definition: OptimizeBFGSOptions.h:17
std::optional< double > Wolfe_1
Acceptance parameter for function value.
Definition: OptimizeBFGSOptions.h:16
std::optional< int > max_size_qspace
Definition: OptimizeBFGSOptions.h:12
OptimizeBFGSOptions()=default
std::optional< double > linesearch_tolerance
If the predicted line search is within tolerance of 1, don't bother taking it.
Definition: OptimizeBFGSOptions.h:19
std::optional< bool > strong_Wolfe
Whether to use strong or weak Wolfe conditions.
Definition: OptimizeBFGSOptions.h:15
std::optional< double > svd_thresh
Definition: OptimizeBFGSOptions.h:14
std::optional< double > linesearch_grow_factor
Definition: OptimizeBFGSOptions.h:20