tsgConstructSurrogate.hpp File Reference

Automated parallel construction procedure. More...

#include "tsgCandidateManager.hpp"

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Namespaces
	TasGrid
	Encapsulates the Tasmanian Sparse Grid module.

Typedefs
using	TasGrid::ModelSignature = std::function< void(std::vector< double > const &x, std::vector< double > &y, size_t thread_id)>
	Signature of a model function to be used in the construction procedures. More...

Functions
template<bool parallel_construction, bool use_initial_guess>
void	TasGrid::constructCommon (ModelSignature model, size_t max_num_points, size_t num_parallel_jobs, size_t max_samples_per_job, TasmanianSparseGrid &grid, std::function< std::vector< double >(TasmanianSparseGrid &)> candidates, std::string const &checkpoint_filename)
	Construction algorithm using generic candidates procedure. More...
template<bool parallel_construction = TasGrid::mode_parallel, bool initial_guess = no_initial_guess>
void	TasGrid::constructSurrogate (ModelSignature model, size_t max_num_points, size_t num_parallel_jobs, size_t max_samples_per_job, TasmanianSparseGrid &grid, double tolerance, TypeRefinement criteria, int output=-1, std::vector< int > const &level_limits=std::vector< int >(), std::string const &checkpoint_filename=std::string())
	Construct a sparse grid surrogate to the model defined by the lambda. More...
template<bool parallel_construction = TasGrid::mode_parallel, bool initial_guess = no_initial_guess>
void	TasGrid::constructSurrogate (ModelSignature model, size_t max_num_points, size_t num_parallel_jobs, size_t max_samples_per_job, TasmanianSparseGrid &grid, TypeDepth type, std::vector< int > const &anisotropic_weights=std::vector< int >(), std::vector< int > const &level_limits=std::vector< int >(), std::string const &checkpoint_filename=std::string())
	Construct a sparse grid surrogate to the model defined by the lambda. More...
template<bool parallel_construction = TasGrid::mode_parallel, bool initial_guess = no_initial_guess>
void	TasGrid::constructSurrogate (ModelSignature model, size_t max_num_points, size_t num_parallel_jobs, size_t max_samples_per_job, TasmanianSparseGrid &grid, TypeDepth type, int output, std::vector< int > const &level_limits=std::vector< int >(), std::string const &checkpoint_filename=std::string())
	Construct a sparse grid surrogate to the model defined by the lambda. More...

Variables
constexpr bool	TasGrid::mode_parallel = true
	Allows for expressive calls to TasGrid::constructSurrogate().
constexpr bool	TasGrid::mode_sequential = false
	Allows for expressive calls to TasGrid::constructSurrogate().
constexpr bool	TasGrid::with_initial_guess = true
	Allows for expressive calls to TasGrid::constructSurrogate().
constexpr bool	TasGrid::no_initial_guess = false
	Allows for expressive calls to TasGrid::constructSurrogate().

Detailed Description

Automated parallel construction procedure.

Author

Miroslav Stoyanov

Templates for automated surrogate construction.