tsgLoadUnstructuredPoints.hpp File Reference

Templates for using unstructured data. More...

#include "tsgLoadNeededValues.hpp"

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Namespaces
	TasGrid
	Encapsulates the Tasmanian Sparse Grid module.

Functions
bool	TasGrid::hasGPUBasis (TasmanianSparseGrid const &grid)
	Returns true if the grid has a GPU algorithm for computing the hierarchical basis. More...
template<typename scalar_type >
void	TasGrid::generateCoefficientsGPU (double const data_points[], int num_data, scalar_type model_values[], double tolerance, TasmanianSparseGrid &grid)
	Generates the coefficients and solves the least-squares problem. More...
template<typename scalar_type >
Data2D< scalar_type >	TasGrid::generateCoefficients (double const data_points[], int num_data, double const model_values[], double tolerance, TasmanianSparseGrid &grid)
	Generates the coefficients and solves the least-squares problem. More...
template<typename scalar_type >
void	TasGrid::loadUnstructuredDataL2tmpl (double const data_points[], int num_data, double const model_values[], double tolerance, TasmanianSparseGrid &grid)
	Template implementation that handles the case of Fourier grids vs. all other types. More...
void	TasGrid::loadUnstructuredDataL2 (double const data_points[], int num_data, double const model_values[], double tolerance, TasmanianSparseGrid &grid)
	Construct a sparse grid surrogate using a least-squares fit. More...
void	TasGrid::loadUnstructuredDataL2 (std::vector< double > const &data_points, std::vector< double > const &model_values, double tolerance, TasmanianSparseGrid &grid)
	Overload that used vectors and infers the number of data points from the size of the vectors. More...

Detailed Description

Templates for using unstructured data.

Author

Miroslav Stoyanov

Templates that infer the surrogate coefficients from unstructured data.