stats.cpp File Reference

#include "geoslib_f.h"
#include "geoslib_old_f.h"
#include "Enum/EJustify.hpp"
#include "Morpho/Morpho.hpp"
#include "Basic/VectorNumT.hpp"
#include "Basic/Utilities.hpp"
#include "Basic/Law.hpp"
#include "Basic/File.hpp"
#include "Basic/String.hpp"
#include "Basic/OptDbg.hpp"
#include "Db/Db.hpp"
#include "Db/DbGrid.hpp"
#include "Stats/Classical.hpp"
#include <math.h>
#include <string.h>

Functions
int	db_upscale (DbGrid *dbgrid1, DbGrid *dbgrid2, int orient, int verbose)
int	db_diffusion (DbGrid *dbgrid1, DbGrid *dbgrid2, int orient, int niter, int nseed, int seed, int verbose)
int	stats_residuals (int verbose, int nech, double *tab, int ncut, double *zcut, int *nsorted, double *mean, double *residuals, double *T, double *Q)

Function Documentation

db_diffusion()

int db_diffusion	(	DbGrid *	dbgrid1,
		DbGrid *	dbgrid2,
		int	orient,
		int	niter,
		int	nseed,
		int	seed,
		int	verbose
	)

Calculate the diffusion factor from a grid Db into another grid Db

Returns

Error return code

Parameters

[in]	dbgrid1	Db for the input grid
[in]	dbgrid2	Db for the output grid
[in]	orient	Diffusion orientation (0 or the space rank dimension)
[in]	niter	Number of iterations
[in]	nseed	Number of seeds
[in]	seed	Seed for the random number generation
[in]	verbose	Verbose Option

Remarks

The user may specify the type of storage

0: average squared distance; 1: slope; 2: origin

get.keypair("Diffusion.Converge.Option",0)

The neighborhood is Block(0) or Cross(1) according to

get.keypair("Diffusion.Converge.Morpho",0)

The rank of the convergence if measured from a Starting to an Ending

percentages of the 'niter' iterations. The 'Mid' percentage gives

the value assigned to the output block

get.keypair("Diffusion.Converge.PMid",70)

The user can specify the block of interest by using:

get.keypair("Diffusion.Converge.Block")

For the target block, the array of squared distances as a function

of the iteration is returned using the keypair mechanism:

set.keypair("Diffusion.Converge")

For the target block, the trajectories are saved using keypair;

set.keypair("Diffusion.Trajectory.XX")

db_upscale()

int db_upscale	(	DbGrid *	dbgrid1,
		DbGrid *	dbgrid2,
		int	orient,
		int	verbose
	)

Upscale one variable from a grid Db into another grid Db

Returns

Error return code

Parameters

[in]	dbgrid1	Db for the input grid
[in]	dbgrid2	Db for the output grid
[in]	orient	Upscaling direction (0 to 2)
[in]	verbose	Verbose flag

stats_residuals()

int stats_residuals	(	int	verbose,
		int	nech,
		double *	tab,
		int	ncut,
		double *	zcut,
		int *	nsorted,
		double *	mean,
		double *	residuals,
		double *	T,
		double *	Q
	)

Create residuals

Returns

Error returned code

Parameters

[in]	verbose	Verbose flag
[in]	nech	Number of samples
[in]	tab	Array of sample values (Dimension: nech)
[in]	ncut	Number of cutoffs
[in]	zcut	Array of cutoff values (Dimension: ncut)
[out]	nsorted	Number of sorted samples
[out]	mean	Average of the active data
[out]	residuals	Array of residuals (Dimension: ncut * nech)
[out]	T	Array of for tonnage
[out]	Q	Array of for metal quantity