CalcSimuRefine.hpp File Reference

#include "gstlearn_export.hpp"
#include "Model/Model.hpp"
#include "Simulation/ACalcSimulation.hpp"
#include "Simulation/SimuRefineParam.hpp"

Classes
class	CalcSimuRefine

Functions
GSTLEARN_EXPORT DbGrid *	simulation_refine (DbGrid *dbin, Model *model, const SimuRefineParam &param, int seed=432432, bool verbose=false, const NamingConvention &namconv=NamingConvention("Refine"))

Function Documentation

simulation_refine()

GSTLEARN_EXPORT DbGrid* simulation_refine	(	DbGrid *	dbin,
		Model *	model,
		const SimuRefineParam &	param,
		int	seed,
		bool	verbose,
		const NamingConvention &	namconv
	)

Refine the simulation

Returns

Newly refined Grid.

Parameters

[in]	dbin	Input grid Db structure
[in]	model	Model structure
[in]	param	SimuRefineParam structure
[in]	seed	Seed for the random number generator
[in]	verbose	Verbosity flag
[in]	namconv	Naming convention

Remarks

For each dimension of the space, if N stands for the number of

nodes in the input grid, the number of nodes of the output grid

will be (N-1) * 2^p + 1 where p is the param.getNmult()