SimuSpectral.hpp File Reference

#include "Matrix/MatrixDense.hpp"
#include "gstlearn_export.hpp"
#include "Basic/VectorNumT.hpp"
#include "Basic/NamingConvention.hpp"

Classes
struct	spSim
class	SimuSpectral

Functions
GSTLEARN_EXPORT int	simuSpectral (Db *dbin=nullptr, Db *dbout=nullptr, Model *model=nullptr, int nbsimu=1, int seed=43431, int ns=100, int nd=100, bool verbose=false, const NamingConvention &namconv=NamingConvention("Simu"))

Function Documentation

simuSpectral()

GSTLEARN_EXPORT int simuSpectral	(	Db *	dbin,
		Db *	dbout,
		Model *	model,
		int	nbsimu,
		int	seed,
		int	ns,
		int	nd,
		bool	verbose,
		const NamingConvention &	namconv
	)

Perform a series of simulations (on Rn or on the Spehere) using Spectral Method

Parameters

dbin	Input Db where the conditioning data are read
dbout	Output Db where the results are stored
model	Model (should only contain covariances that can cope with spectral method)
ns	Number of spectral components
nbsimu	Number of simulations processed simultaneously
seed	Seed used for the Random number generator
verbose	Verbose flag
nd	Number of discretization steps (used for the Spectrum on Sphere)
namconv	Naming Convention

Note

The conditional version is not yet available