mlayers.cpp File Reference

#include "geoslib_old_f.h"
#include "Variogram/Vario.hpp"
#include "Basic/Utilities.hpp"
#include "Basic/OptDbg.hpp"
#include "Model/Model.hpp"
#include "Neigh/ANeigh.hpp"
#include "Db/Db.hpp"
#include "Db/DbGrid.hpp"
#include <math.h>

Classes
struct	LMlayers

Functions
int	multilayers_kriging (Db *dbin, DbGrid *dbout, Model *model, ANeigh *neigh, int flag_same, int flag_z, int flag_vel, int flag_cumul, int flag_ext, int flag_std, int flag_bayes, int irf_rank, int match_time, int dim_prior, double *prior_mean, double *prior_vars, int colrefd, int colreft, int colrefb, int verbose)
int	multilayers_vario (Db *dbin, DbGrid *dbout, Vario *vario, int nlayers, int flag_vel, int flag_ext, int irf_rank, int match_time, int colrefd, int colreft, int verbose)
int	multilayers_get_prior (Db *dbin, DbGrid *dbout, Model *model, int flag_same, int flag_vel, int flag_ext, int irf_rank, int match_time, int colrefd, int colreft, int colrefb, int verbose, int *npar_arg, double **mean, double **vars)

Function Documentation

multilayers_get_prior()

int multilayers_get_prior	(	Db *	dbin,
		DbGrid *	dbout,
		Model *	model,
		int	flag_same,
		int	flag_vel,
		int	flag_ext,
		int	irf_rank,
		int	match_time,
		int	colrefd,
		int	colreft,
		int	colrefb,
		int	verbose,
		int *	npar_arg,
		double **	mean,
		double **	vars
	)

Multi-layers get the mean and prior matrices for Bayesian prior

Returns

Error return code

Parameters

[in]	dbin	Input Db structure
[in]	dbout	Output Db structure
[in]	model	Model structure
[in]	flag_same	1 if input and output files coincide
[in]	flag_vel	1 if work is performed in Velocity, 0 for Depth
[in]	flag_ext	1 if external drift must be used; 0 otherwise
[in]	irf_rank	Rank of the Intrinsic Random Function (0 or 1)
[in]	match_time	1 if external drift matches time; 0 otherwise
[in]	colrefd	Rank of the reference Depth variable in Dbout
[in]	colreft	Rank of the reference Time variable in Dbout
[in]	colrefb	Rank of the Bottom Depth variable in Dbout (or -1)
[in]	verbose	Verbose option
[out]	npar_arg	Number of drift terms
[out]	mean	Array of means
[out]	vars	Array of variances

multilayers_kriging()

int multilayers_kriging	(	Db *	dbin,
		DbGrid *	dbout,
		Model *	model,
		ANeigh *	neigh,
		int	flag_same,
		int	flag_z,
		int	flag_vel,
		int	flag_cumul,
		int	flag_ext,
		int	flag_std,
		int	flag_bayes,
		int	irf_rank,
		int	match_time,
		int	dim_prior,
		double *	prior_mean,
		double *	prior_vars,
		int	colrefd,
		int	colreft,
		int	colrefb,
		int	verbose
	)

Multi-layers architecture estimation

Returns

Error return code

Parameters

[in]	dbin	Input Db structure
[in]	dbout	Output Db structure
[in]	model	Model structure
[in]	neigh	ANeigh structure
[in]	flag_same	1 if input and output files coincide
[in]	flag_z	1 if the output must be converted back into depth
[in]	flag_vel	1 if work is performed in Velocity, 0 for Depth
[in]	flag_cumul	1 if work is performed in Depth; 0 in Thickness
[in]	flag_ext	1 if external drift must be used; 0 otherwise
[in]	flag_std	1 if the estimation error must be calculated
[in]	flag_bayes	1 if the Bayesian hypothesis is used on drift coeffs
[in]	irf_rank	Rank of the Intrinsic Random Function (0 or 1)
[in]	match_time	1 if external drift matches time; 0 otherwise
[in]	dim_prior	Dimension of the prior information (for verification)
[in]	prior_mean	Vector of prior means for drift coefficients
[in]	prior_vars	Vector of prior variances for drift coefficients
[in]	colrefd	Rank of the reference Depth variable in Dbout
[in]	colreft	Rank of the reference Time variable in Dbout
[in]	colrefb	Rank of the Bottom Depth variable in Dbout (or -1)
[in]	verbose	Verbose option

multilayers_vario()

int multilayers_vario	(	Db *	dbin,
		DbGrid *	dbout,
		Vario *	vario,
		int	nlayers,
		int	flag_vel,
		int	flag_ext,
		int	irf_rank,
		int	match_time,
		int	colrefd,
		int	colreft,
		int	verbose
	)

Multi-layers architecture experimental variogram

Returns

Error return code

Parameters

[in]	dbin	Input Db structure
[in]	dbout	Output Db structure
[in]	vario	Vario structure
[in]	nlayers	Number of layers
[in]	flag_vel	1 if work is performed in Velocity, 0 for Depth
[in]	flag_ext	1 if external drift must be used; 0 otherwise
[in]	irf_rank	Rank of the Intrinsic Random Function (0 or 1)
[in]	match_time	1 if external drift matches time; 0 otherwise
[in]	colrefd	Rank of the reference Depth variable in Dbout
[in]	colreft	Rank of the reference Time variable in Dbout
[in]	verbose	1 for a verbose option