Revision 6aa7805ff1eef8ecb881b5099f3cd30f7c2bd637 authored by Martin Schlather on 08 August 1977, 00:00:00 UTC, committed by Gabor Csardi on 08 August 1977, 00:00:00 UTC
1 parent a3c58bc
RFsimu.cc
/*
Authors
Martin Schlather, martin.schlather@cu.lu
library for unconditional simulation of stationary and isotropic random fields
Copyright (C) 2001 -- 2004 Martin Schlather,
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
*/
/*
PRINTING LEVELS
===============
error messages: 1
forcation : 2
minor tracing information : 3--5
large debugging information: >10
*/
/*
calculate the transformation of the points only once and store the result in
a register (indexed by ncov) of key, not of s->. Advantages: points have to
calculated only once for several tries; if zonal anisotropy then specific
methods may be called;
*/
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <sys/timeb.h>
#include <assert.h>
#include <string.h>
#include "RFsimu.h"
#include <unistd.h>
void DeleteKey(int *keyNr)
{
key_type *key;
int d, m;
if (GENERAL_PRINTLEVEL>=4) {
PRINTF("deleting stored parameters of register %d ...\n", *keyNr);
}
if ((*keyNr<0) || (*keyNr>=MAXKEYS)) {return;}
key = &(KEY[*keyNr]);
if (key->x[0]!=NULL) free(key->x[0]);
for (d=0; d<MAXDIM; d++) {key->x[d]=NULL;}
for (m=0; m<MAXCOV; m++) {
if (key->destruct[m]!=NULL) key->destruct[m](&(key->S[m]));
key->destruct[m]=NULL;
}
key->TrendModus = -1;
if (key->TrendFunction!=NULL) free(key->TrendFunction);
key->TrendFunction=NULL;
if (key->LinearTrend!=NULL) free(key->LinearTrend);
key->LinearTrend=NULL;
if (key->destructX!=NULL) key->destructX(&(key->SX));
key->destructX=NULL;
key->active=false;
}
void DeleteAllKeys() {
int i;
for (i=0;i<MAXKEYS;i++) {DeleteKey(&i);}
}
void printkey(key_type *key) {
int i,actparam,j;
char op_sign[][2]={"+","*"};
PRINTF("\ngrid=%d, active=%d, anisotropy=%d, tbm_method=%d lx=%d sp_dim=%d,\ntotalpoints=%d, distr=%s Time=%d [%f %f %f]\ntimespacedim=%d traditional=%d compatible=%d mean=%f ncov=%d\n",
key->grid, key->active, key->anisotropy,
key->tbm_method, key->lx, key->spatialdim, key->totalpoints,
DISTRNAMES[key->distribution],
key->Time, key->T[0], key->T[1], key->T[2],
key->timespacedim, key->traditional, key->compatible,
key->mean, key->ncov);
PRINTF("\n");
for (i=0; i<key->ncov; i++) {
PRINTF("%d: meth=%s, cov=%d (%s) ^S=%d ^destruct=%d\n left=%d unimeth=%d (%s) [%d], param=", i,
METHODNAMES[key->method[i]],
key->covnr[i], CovList[key->covnr[i]].name,
key->S[i],key->destruct[i],
key->left[i],
key->unimeth[i], METHODNAMES[key->unimeth[i]], key->unimeth_used[i]
);
for (j=0; j<key->totalparam; j++) PRINTF("%f,",key->param[i][j]);
if (i < key->ncov - 1) PRINTF("\n%s\n",op_sign[key->op[i]]);
else PRINTF("\n\n");
}
//
for (i=0; i<MAXDIM; i++)
PRINTF("%d : len=%d \n", i, key->length[i]);
PRINTF("^x=%d ^y=%d ^z=%d ^SX=%d ^destructX=%d \n",
key->x[0], key->x[1], key->x[2], key->SX, key->destructX
);
}
void printKEY(int *keyNr) {
key_type *key;
if ((*keyNr<0) || (*keyNr>=MAXKEYS)) {
PRINTF("\nkeynr out of range!\n");
return;
}
key = &(KEY[*keyNr]);
PRINTF("\nNr=%d", *keyNr);
printkey(key);
}
void printAllKeys() {
int i;
for (i=0;i<MAXKEYS;i++) {printKEY(&i);PRINTF("\n");}
}
int Transform2NoGrid(key_type *key, Real* param, int TrueDim,
int *start_param, Real **xx)
{
/*
this function transforms the coordinates according to the anisotropy
matrix given in param (usually param is the param the first anisotropy
matrix of the covariance product -- all the other anisotropy matrices
have to multiple of the first, and this parameter is put into the
covariance function as scale parameter
input : key, param, TrueDim (got from GetTrueDim)
start_param (vector of places where the parameters start)
output :
**xx
isotropic : grid : NULL
arbitrary : x-coordinates multiplied with INVSCALE
anisotropic : dim-reduced, x-coordinates multiplied with aniso matrix.
The index for the temporal component runs the
slowest, if there is any
*/
int i,j,k,d,w;
unsigned long endfor, startfor, total;
int dimM1;
Real t, *x;
dimM1 = key->timespacedim - 1;
assert(xx!=NULL);
if (key->anisotropy) {
// used: TrueDim, start_param
total = TrueDim * key->totalpoints;
// total number of coordinates to store
if ((x = *xx = (Real*) malloc(sizeof(Real) * total))==0)
return ERRORMEMORYALLOCATION;
/* determine points explicitly */
if (key->Time && !key->grid) { // time component, no grid
endfor = key->length[key->spatialdim];
k=0;
for (j=0, t=key->T[XSTART]; j<endfor; j++, t+=key->T[XSTEP])
for (i=0; i<key->length[0]; i++)
for (d=0; d<TrueDim; d++, k++) {
x[k] = 0.0;
for(w=0; w<key->spatialdim; w++)
x[k] += param[start_param[d]+w] * key->x[w][i];
x[k] += param[start_param[d]+w] * t;
}
} else {
if (key->grid) {/* grid; with or without time component */
Real y[MAXDIM]; /* current point within grid, but without
anisotropy transformation */
int yi[MAXDIM]; /* counter for the current position in the grid */
for (w=0; w<key->timespacedim; w++) {y[w]=key->x[w][XSTART]; yi[w]=0;}
for (k=0; k<total; ){
for (d=0; d<TrueDim; d++, k++) {
x[k] = 0.0;
for(w=0; w<key->timespacedim; w++)
x[k] += param[start_param[d]+w] * y[w];
}
i = 0;
(yi[i])++;
y[i] += key->x[i][XSTEP];
while(yi[i]>=key->length[i]) {
yi[i]=0;
y[i] = key->x[i][XSTART];
if (i<dimM1) {
i++;
(yi[i])++;
y[i] += key->x[i][XSTEP];
} else {
assert(k==total);
}
}
}
} else {/* no grid, no time component */
k = 0;
for (i=0; i<key->length[0]; i++)
for (d=0; d<TrueDim; d++, k++) {
x[k] = 0.0;
for(w=0; w<key->spatialdim; w++)
x[k] += param[start_param[d]+w] * key->x[w][i];
}
}
}
} else { /* isotropic, no time component */
assert(fabs(param[INVSCALE] * param[SCALE] - 1.0)<EPSILON);
if (key->grid) {
*xx = NULL;
} else{
if ((x = *xx = (Real*) malloc(sizeof(Real) * TrueDim * key->totalpoints)
)==0)
// *xx is returned !!
return ERRORMEMORYALLOCATION;
for (k=i=0; i<key->length[0]; i++) {
for (j=0; j<key->spatialdim; j++) {
x[k++] = key->x[j][i] * param[INVSCALE];
}
}
}
}
return 0;
}
int InternalGetGridSize(Real *x[MAXDIM], int *dim, int *lx)
{
int d;
for (d=0; d<*dim; d++) {
if ((x[d][XEND]<=x[d][XSTART]) || (x[d][XSTEP]<=0))
return ERRORCOORDINATES;
lx[d] = 1 + (int)((x[d][XEND]-x[d][XSTART])/x[d][XSTEP]);
}
return NOERROR;
}
// obsolete?!
void GetGridSize(Real *x,Real *y,Real *z,int *dim,int *lx,int *ly,int *lz)
{
// should now be consistent with `seq' of R
// if not, please report!!!!!!!!!!!!
Real *xx[MAXDIM];
int lxx[MAXDIM], d;
xx[0]=x; xx[1]=y; xx[2]=z;
if (InternalGetGridSize(xx,dim,lxx)) {
*lx = *ly = *lz = 0;
} else {
*lx = lxx[0]; *ly = lxx[1]; *lz=lxx[2];
}
}
#define COV_VARIO(FORMULA,FCT)\
int v, aniso, k, j, endfor;\
Real var, zz, zw, result, d;\
cov_fct *cov;\
zw = result = 0.0;\
if (anisotropy) {\
Real z[MAXDIM];\
int cov_isotropy, ncovM1;\
ncovM1 = ncov - 1;\
for (v=0; v<ncov; v++) {\
zw = var = 1.0;\
for(;v<ncov;v++) {\
cov = &(CovList[covnr[v]]);\
cov_isotropy=cov->isotropic;\
var *= param[v][VARIANCE];\
for (k=0; k<dim; k++) z[k]=0.0;\
for(aniso=ANISO, k=0; k<dim; k++){\
for (j=0; j<dim; j++, aniso++) {\
z[k] += param[v][aniso] * x[j];\
}\
}\
if (cov_isotropy==ANISOTROPIC) zw *= cov->FCT(z,param[v],dim);\
/* derzeit is dim in cov->FCT bis auf assert-checks unbenutzt */\
else {\
/* the following definiton allows for calculating the covariance */\
/* funcion for spatialdim=0 and SPACEISOTROPIC model, namely as a */\
/* purely temporal model; however, in CheckAndRescale such kind of */\
/* calculations are prevend as being TRIVIAL(generally, independent */\
/* of being SPACEISOTROPIC or not) -- unclear whether relaxation in */\
/* CheckAndRescale possible */\
zz = 0.0;\
endfor = dim - 1;\
for (j=0; j<endfor; j++) zz += z[j] * z[j];\
if (cov_isotropy==FULLISOTROPIC) zz += z[endfor] * z[endfor];\
else z[1]=z[endfor];\
z[0] = sqrt(zz);\
zw *= cov->FCT(z, param[v], 1 + (int) (cov_isotropy==SPACEISOTROPIC));\
}\
if ( (v<ncovM1) && (op[v]==0)) break;\
}\
result += FORMULA;\
}\
} else {\
if (dim==1) d=x[0];\
else {\
for (d=0.0, j=0; j<dim; j++) {d += x[j] * x[j];}\
d = sqrt(d);\
}\
for (v=0; v<ncov; v++) {\
zw = var = 1.0;\
for(;v<ncov;v++) {\
zz = d * param[v][INVSCALE];\
var *= param[v][VARIANCE];\
cov = &(CovList[covnr[v]]); /* cov needed in FORMULA for Vario */\
zw *= cov->FCT(&zz,param[v],1);\
if (op[v]==0) break; /* v=ncov does not matter since stopped anyway */\
}\
result += FORMULA;\
}\
}\
return result;
Real CovFct(Real *x, int dim, int *covnr, int *op,
param_type param, int ncov, bool anisotropy) {
COV_VARIO(var * zw, cov);
}
Real LocalCovFct(Real *x, int dim, int *covnr, int *op,
param_type param, int ncov, bool anisotropy) {
COV_VARIO(var * zw, cov_loc);
}
Real Vario(Real *x, int dim, int *covnr, int *op,
param_type param, int ncov, bool anisotropy){
// Vario defines some kind of multiplication (namely as the mulitplication
// of the respective covariance functions)
//
// make sure that no genuine variogram model are used in multiplication terms
//
// first part says how to add models
// cov.variogram checks whether last model in the block is a variogram
// this may allow relaxations towards multiplications of varioagrams in
// the sense that the corresponding covariance functions are multiplied
// and then 1-block is used as value for variogram (only covariance functions
// may appear in this case
COV_VARIO(cov->variogram ? var * zw : var * (1.0 - zw), cov); // 30.1.02
}
// checks a *single* basic covariance function
// p and param must be of the same kind (Real)!!!
int CheckAndRescale( int covnr, int naturalscaling, Real *p,
int timespacedim, int anisotropy, Real* param)
{
// IMPORTANT!: p is the parameter vector of the R interface !!
// output param : equals p, except naturalscaling
int actparam, error, endfor, i, j;
Real newscale;
if ((covnr>=currentNrCov) || (covnr<0)) return ERRORNOTDEFINED;
if (p[VARIANCE]<0.0) return ERRORNEGATIVEVAR;
actparam = KAPPA + CovList[covnr].kappas;
if (anisotropy) {
endfor = ANISO + timespacedim * timespacedim;
for (j=actparam, i=ANISO; i<endfor; i++, j++) param[i] = p[j];
} else {
if (CovList[covnr].isotropic!=FULLISOTROPIC) return ERRORANISOTROPIC;
param[SCALE] = p[actparam];
}
{ // is dimension OK ?
int j, TrueDim, start_param[MAXDIM], index_dim[MAXDIM];
bool no_last_comp;
switch (CovList[covnr].isotropic) {
case FULLISOTROPIC :
GetTrueDim(anisotropy, timespacedim, param, &TrueDim, &no_last_comp,
start_param, index_dim);
break;
case SPACEISOTROPIC :
if (anisotropy) {
GetTrueDim(anisotropy, timespacedim, param, &TrueDim, &no_last_comp,
start_param, index_dim);
if (!no_last_comp) TrueDim--;
} else {
return ERRORNOTANISO;
}
break;
case ANISOTROPIC :
if (!anisotropy) return ERRORNOTANISO;
TrueDim = timespacedim;
break;
default : assert(false);
}
if (TrueDim==0) return ERRORTRIVIAL;
if (CovList[covnr].method(TrueDim, false)==Forbidden)
return ERRORCOVNOTALLOWED;
}
// specific parameter check for the covariance function
if ((CovList[covnr].check!=NULL) &&
((error=(CovList[covnr].check(p, timespacedim, Nothing))))!=NOERROR)
return error;
// getnaturalscaling
GetNaturalScaling(&covnr,&(p[KAPPA]),&naturalscaling,&newscale,&error);
if (error!=NOERROR) return error;
if (anisotropy) {
newscale = 1.0 / newscale;
for (j=actparam, i=ANISO; i<endfor; i++, j++) param[i] = p[j] * newscale;
} else {
param[SCALE] *= newscale;
if (CovList[covnr].cov==nugget && param[SCALE]==0) param[SCALE] = 1;
param[INVSCALE] = 1.0 / param[SCALE];
if (param[SCALE] <= 0.0) return ERRORNEGATIVESCALE;
}
for (i=0; i<actparam; i++) param[i] = p[i]; /* variance, kappas */
return NOERROR;
}
#define FIRST_CHECK_COV_VARIO(ERROR)\
if (currentNrCov==-1) InitModelList(); assert(CovList!=NULL);\
if ((*logicaldim!=*xdim) && (*anisotropy || (*xdim!=1))) \
{ERROR=ERRORDIMMISMATCH; goto ErrorHandling;}\
if ((*xdim<1) || (*xdim>MAXDIM)) {ERROR=ERRORDIM; goto ErrorHandling;}\
if (*anisotropy) { \
pAdd = *xdim * *xdim + 1; /* VARIANCE */\
} else {\
pAdd = 2;\
}\
for (i=pAdd * *ncov, v=0; v<*ncov; v++) {\
if (CovList[covnr[v]].cov==NULL) {\
ERROR=ERRORNOTPROGRAMMED; goto ErrorHandling;}\
i += CovList[covnr[v]].kappas;\
}\
if (i!=*np) {ERROR=ERRORPARAMNUMBER; goto ErrorHandling;}
// note: number of parameters is not checked whether it is correct!!
// done by R function `PrepareModel'
void CovarianceNatSc(Real *x, int *lx, int *covnr, Real *p, int *np,
int *logicaldim, /* timespacedim ! */
int *xdim,
int *ncov, int *anisotropy, int *op,
Real *result, int *naturalscaling)
{
// note: column of x is point !!
int error, i,pAdd, v;
param_type param;
error = NOERROR;
FIRST_CHECK_COV_VARIO(error);
for (v=0; v<*ncov; v++) {
if (((error=(CheckAndRescale(covnr[v], *naturalscaling, p, *logicaldim,
*anisotropy, param[v])))!=NOERROR) ||
CovList[covnr[v]].variogram)
goto ErrorHandling;
// increase of address !
p += pAdd+CovList[covnr[v]].kappas; // pointer addition!
}
for (i=0; i<*lx; i++, x += *xdim) {
result[i] = CovFct(x, *xdim, covnr, op, param, *ncov, *anisotropy);
}
return;
ErrorHandling:
if (GENERAL_PRINTLEVEL>0) ErrorMessage(Nothing,error);
for (i=0;i<*lx;i++) { result[i] = RF_NAN; }
return;
}
void Covariance(Real *x,int *lx, int *covnr, Real *p, int *np,
int *logicaldim, /* timespacedim ! */
int *xdim,
int *ncov, int *anisotropy, int *op,
Real *result)
{
CovarianceNatSc(x,lx,covnr,p,np,logicaldim,xdim,
ncov, anisotropy, op,result, &GENERAL_NATURALSCALING);
}
static param_type Unchecked_param;
static int Unchecked_covnr[MAXCOV], Unchecked_DIM, Unchecked_op[MAXDIM],
Unchecked_ncov;
static bool Unchecked_anisotropy;
void InitUncheckedCovFct(int *covnr,Real *p,int *np,
int *logicaldim, /* timespacedim ! */
int *xdim,
int *ncov, int *anisotropy, int *op,
int *naturalscaling, int *error){
int i, j, pAdd, v;
bool variogram;
FIRST_CHECK_COV_VARIO(*error);
for (v=0; v<*ncov; v++) {
if ((*error=(CheckAndRescale(covnr[v], *naturalscaling, p, *logicaldim,
*anisotropy, Unchecked_param[v]))) ||
CovList[covnr[v]].variogram)
goto ErrorHandling;
p += pAdd+CovList[covnr[v]].kappas;
}
memcpy(Unchecked_covnr, covnr, sizeof(int) * *ncov);
memcpy(Unchecked_op, op, sizeof(int) * *ncov);
Unchecked_ncov = *ncov;
Unchecked_anisotropy = (bool) *anisotropy;
Unchecked_DIM = *xdim;
return;
ErrorHandling:
if (GENERAL_PRINTLEVEL>0) ErrorMessage(Nothing,*error);
return;
}
void UncheckedCovFct(Real *x, int *lx, Real *result)
{
int i;
/*
WARNING: make sure that CovList is initialised,
covnr is correct,
p is fine according to covnr (length(p), value)
PracticalRange is included in p[SCALE] if
necessary
*/
for (i=0; i<*lx; i++, x += Unchecked_DIM) {
result[i] = CovFct(x, Unchecked_DIM, Unchecked_covnr,
Unchecked_op, Unchecked_param,
Unchecked_ncov, Unchecked_anisotropy);
}
}
void VariogramNatSc(Real *x,int *lx,int *covnr,Real *p,int *np,
int *logicaldim, /* timespacedim ! */
int *xdim,
int *ncov, int *anisotropy, int *op,
Real *result, int *naturalscaling)
{
// note: column of x is point !!
int error=NOERROR, i, j, pAdd, v;
param_type param;
FIRST_CHECK_COV_VARIO(error);
for (v=0; v<*ncov; v++) {
if (error=CheckAndRescale(covnr[v], *naturalscaling, p, *logicaldim,
*anisotropy,
param[v])) goto ErrorHandling;
if ( (v>0) && (op[v-1]) &&
(CovList[covnr[v]].variogram || CovList[covnr[v-1]].variogram)) {
// only covariance functions may be multiplied!
error=ERRORNOMULTIPLICATION; goto ErrorHandling;
}
p += pAdd+CovList[covnr[v]].kappas;
}
for (i=0; i<*lx; i++, x += *xdim) {
result[i] = Vario(x, *xdim, covnr, op, param, *ncov, *anisotropy);
}
return;
ErrorHandling:
if (GENERAL_PRINTLEVEL>0) ErrorMessage(Nothing,error);
for (i=0;i<*lx;i++) { result[i] = RF_NAN; }
return;
}
void Variogram(Real *x,int *lx,int *covnr,Real *p,int *np,
int *logicaldim, /* timespacedim ! */
int *xdim,
int *ncov, int *anisotropy, int *op,
Real *result)
{
VariogramNatSc(x,lx,covnr,p,np,logicaldim,xdim,ncov,anisotropy,op,
result,&GENERAL_NATURALSCALING);
}
void CovarianceMatrixNatSc(Real *dist,int *lx,int *covnr,Real *p,int *np,
int *logicaldim, /* timespacedim ! */
int *xdim,
int *ncov, int *anisotropy, int *op,
Real *result, int *naturalscaling)
{
// note: column of x is point !!
int error=NOERROR, i, ii, j, pAdd, zaehler, v, endfor, lxP1;
long lxq, ve, ho;
bool variogram;
param_type param;
Real var;
FIRST_CHECK_COV_VARIO(error);
for (v=0; v<*ncov; v++) {
if ( ((error=(CheckAndRescale(covnr[v], *naturalscaling, p, *logicaldim,
*anisotropy, param[v]))) != NOERROR) ||
CovList[covnr[v]].variogram)
goto ErrorHandling;
p += pAdd + CovList[covnr[v]].kappas; // pointer increment!
}
var = CovFct(ZERO, *xdim, covnr, op, param, *ncov, *anisotropy);
lxP1 = *lx + 1;
for (ii=*lx, i=0; ii>0; i+=lxP1, ii--) {
result[i] = var;
endfor = i + ii;
for (ve = i + 1, ho = i + *lx; ve < endfor; ve++, ho += *lx, dist += *xdim){
result[ve] = result[ho] =
CovFct(dist, *xdim, covnr, op, param, *ncov, *anisotropy);
}
}
return;
ErrorHandling:
for(i=0; i<lxq; i++) result[i] = RF_NAN;
if (GENERAL_PRINTLEVEL>0) ErrorMessage(Nothing,error);
return;
}
void CovarianceMatrix(Real *dist, int *lx,int *covnr, Real *p, int *np,
int *logicaldim, /* timespacedim ! */
int *xdim,
int *ncov, int *anisotropy, int *op,
Real *result)
{
CovarianceMatrixNatSc(dist, lx, covnr, p, np, logicaldim, xdim, ncov,
anisotropy, op, result, &GENERAL_NATURALSCALING);
}
void VariogramMatrix(Real *dist,int *lx,int *covnr,Real *p,int *np, Real *result)
{
// not programmed yet
assert(false);
}
void insert_method(int* last_incompatible, key_type *key,
SimulationType m) {
// printf("insert method\n");
int idx;
assert(key->S[key->n_unimeth]==NULL);
assert(key->destruct[key->n_unimeth]==NULL);
if (do_incompatiblemethod[m]!=NULL) {
// first the non-compatible (i.e. which do not allow direct
// adding to the random field), then those which allow for
// direct adding
// --if attention wouldn't be payed to the ordering of the methods,
// the simulation algorithm had to create an intermediate field
// more frequently -- sometimes the fields are pretty large,
// and then this procedure is quite helpful
(*last_incompatible)++;
key->unimeth_used[key->n_unimeth]=key->unimeth_used[*last_incompatible];
key->unimeth[key->n_unimeth]=key->unimeth[*last_incompatible];
key->S[key->n_unimeth]=key->S[*last_incompatible]; // necessary
// only if traditional and further methods are tried due to
// partial failure
key->destruct[key->n_unimeth]=key->destruct[*last_incompatible];
key->S[*last_incompatible] = NULL;
key->destruct[*last_incompatible] = NULL;
idx = *last_incompatible;
} else idx=key->n_unimeth;
key->unimeth[idx] = m;
key->unimeth_used[idx] = false;
key->n_unimeth++;
// printf("end insert method\n");
}
void delete_method(int *M, int *last_incompatible, key_type *key) {
// note that key->n_unimeth had been decreased before this function
// is called
int idx;
// printf("delete method\n");
if (key->destruct[*M]!=NULL) key->destruct[*M](&(key->S[*M]));
key->destruct[*M]=NULL;
if (do_incompatiblemethod[key->unimeth[*M]]!=NULL) {
assert(*last_incompatible>=0);
assert(*M<=*last_incompatible);
key->unimeth[*M]=key->unimeth[*last_incompatible];
key->unimeth_used[*M] = key->unimeth_used[*last_incompatible];
key->S[*M] = key->S[*last_incompatible];
key->S[*last_incompatible]=NULL;
key->destruct[*M]=key->destruct[*last_incompatible];
key->destruct[*last_incompatible]=NULL;
idx = *last_incompatible;
(*last_incompatible)--;
} else idx = *M;
// printf("idx=%d %d %d %d\n", idx, *M ,*last_incompatible, key->n_unimeth);
key->n_unimeth--;
if (idx==key->n_unimeth){ // deleting of the very last entry
assert(*M==key->n_unimeth);
} else {
assert(idx>=0 && idx<key->n_unimeth);
key->unimeth[idx] = key->unimeth[key->n_unimeth];
key->unimeth_used[idx] = key->unimeth_used[key->n_unimeth];
key->S[idx] = key->S[key->n_unimeth];
key->S[key->n_unimeth]=NULL;
key->destruct[idx] = key->destruct[key->n_unimeth];
key->destruct[key->n_unimeth]=NULL;
}
key->unimeth_used[key->n_unimeth] = false;
(*M)--;
// printf("end delete method\n");
}
void InitSimulateRF(Real *x, Real *T,
int *spatialdim, /* spacial dim only ! */
int *lx, int *grid,
int *Time,
int *covnr, Real *ParamList, int *nParam,
Real *mean,
int *ncov, int *anisotropy, int *op,
int *method,
int *distr, /* still unused */
int *keyNr , int *error)
{ // grid : boolean
// keyNr : label where intermediate results are to be stored;
// can be chosen freely between 0 and MAXKEYS-1
// NOTE: if grid and Time then the Time component is treated as if
// it was an additional space component
// On the other hand, SPACEISOTROPIC covariance function will
// always assume that the second calling component is a time component!
bool user_defined,finished;
int i,act_number, last_incompatible, extndd_nr, d, endfor,
pAdd, v, m, M;
unsigned long totalBytes;
cov_fct *cov;
Real newscale, p[TOTAL_PARAM], *PL;
bool method_used[(int) Nothing];
// preference lists, distinguished by grid==true/false and dimension
// lists must end with Nothing!
SimulationType Merr;
SimulationType pg1[]={CircEmbed, CircEmbedLocal, Direct, AdditiveMpp, Nothing};
SimulationType pg2[]={CircEmbed, CircEmbedLocal, TBM2, SpectralTBM,
AdditiveMpp, TBM3, Direct, Nothing};
SimulationType pg3[]={CircEmbed, CircEmbedLocal, TBM3, AdditiveMpp,
Direct, Nothing};
SimulationType png1[]={Direct, AdditiveMpp, Nothing};
SimulationType png2[]={TBM2, SpectralTBM, AdditiveMpp, TBM3, Direct,
Nothing};
SimulationType png3[]={TBM3, AdditiveMpp, Direct, Nothing};
SimulationType *preference_list,first_method[MAXCOV];
key_type *key;
if ((*keyNr<0) || (*keyNr>=MAXKEYS)) {
*error=ERRORREGISTER; goto ErrorHandling;}
key = &(KEY[*keyNr]);
key->storing = GENERAL_STORING;
// check parameters
key->timespacedim = *spatialdim + (int) (bool) (*Time);
if (currentNrCov==-1) InitModelList(); assert(CovList!=NULL);
if ((*spatialdim<1) || (key->timespacedim>MAXDIM) || (*Time>1) || (*Time<0)){
*error=ERRORDIM; goto ErrorHandling;}
if (x==NULL) {*error=ERRORCOORDINATES;goto ErrorHandling;}
for (i=0; i<*ncov; i++)
if ((covnr[i]<0) | (covnr[i]>=currentNrCov)) {
*error=ERRORCOVNROUTOFRANGE; goto ErrorHandling; }
if (*anisotropy) {
pAdd = 1 + key->timespacedim * key->timespacedim;
// not literally "total"param; there might be gaps in the sequence of the
// parameters (if not all seven KAPPA parameters are used)
key->totalparam = ANISO + key->timespacedim * key->timespacedim;
}
else {
pAdd = 2;
key->totalparam = SCALE + 2; // SCALE, INVSCALE
}
// also checked by R function `PrepareModel'
for (i=pAdd * *ncov, v=0; v<*ncov; v++) {
i += CovList[covnr[v]].kappas;
}
if (i!=*nParam) {*error=ERRORPARAMNUMBER; goto ErrorHandling;}
// bytes to be stored for each vector of coordinates:
totalBytes = sizeof(Real) * *lx * *spatialdim;
if (key->active) {
assert(key->x[0]!=NULL);
key->active =
(key->lx==*lx) &&
(key->spatialdim==*spatialdim) &&
(key->grid==(bool)*grid) &&
(key->distribution==*distr) &&
(key->ncov==*ncov) &&
(!memcmp(key->covnr, covnr, sizeof(int) * *ncov)) &&
(key->anisotropy==*anisotropy) &&
(key->mean==*mean) &&
( (*Time == key->Time) &&
(!(*Time) || ! memcmp(key->T, T, sizeof(Real) * 3))) &&
(!memcmp(key->op, op, (*ncov>0) ? *ncov-1 : 0)) &&
(!memcmp(key->x[0], x, totalBytes))
;
}
if (!key->active) {
// if not active, all the parameters have to be
// stored again
// save all the parameters if key has not been active
key->lx=*lx;
key->spatialdim = *spatialdim;
key->grid=(bool) *grid;
key->distribution=*distr;
key->ncov=*ncov;
memcpy(key->covnr, covnr, sizeof(int) * *ncov);
key->anisotropy = (bool) *anisotropy;
key->mean = *mean;
// operators +, *
memcpy(key->op, op, (*ncov>0) ? *ncov-1 : 0);
// coordinates
if (key->x[0]!=NULL) free(key->x[0]);
if ((key->x[0]=(Real*) malloc(totalBytes))==NULL){
*error=ERRORMEMORYALLOCATION;goto ErrorHandling;
}
memcpy(key->x[0], x, totalBytes);
for (d=1; d<*spatialdim; d++) key->x[d]= &(key->x[0][d * *lx]);
for (; d<MAXDIM; d++) key->x[d]=NULL;
//Time
if (key->Time = *Time) {
if (!key->anisotropy) { *error = ERRORTIMENOTANISO; goto ErrorHandling; }
memcpy(key->T, T, sizeof(Real) * 3);
if (key->grid) {
key->x[key->spatialdim] = key->T;
}
}
} else { // key->active
// CHECK:
for (d = key->timespacedim; d<MAXDIM; d++) {assert(key->x[d]==NULL);}
}
// check the parameter lists -- note that naturalscaling changes the values !
for (v=0, PL=ParamList; v<key->ncov; v++){
int j;
if ((*error=(CheckAndRescale(covnr[v], GENERAL_NATURALSCALING, PL,
key->timespacedim, *anisotropy, p))) != NOERROR)
goto ErrorHandling;
for (j=KAPPA+CovList[covnr[v]].kappas; j<=LASTKAPPA; j++) p[j]=0.0;
if (!(key->active &=
(key->covnr[v]==covnr[v]) &&
(!memcmp(key->param[v], p, sizeof(Real) * key->totalparam))
)) {
key->covnr[v]=covnr[v];
memcpy(key->param[v], p, sizeof(Real) * key->totalparam);
}
PL+=pAdd+CovList[covnr[v]].kappas;
}
// method list must be treated separately since method is integer coded
// when passed to InitSimulate !
if (user_defined = (method[0]>=0)) {//either all or none shld be user defined
for (v=0; v<key->ncov; v++) {
if (method[v] >= (int) Nothing) {
*error=ERRORNOTDEFINED; goto ErrorHandling;}
if ((key->method[v]!=(SimulationType) method[v])) {
key->active = false;
key->method[v]=(SimulationType) method[v];
}
}
} else {
// TO DO: not consistent -- unclear which method to choose
if (!key->active) {
for (v=0; v<key->ncov; v++) {
key->method[v]=CovList[covnr[v]].method(key->spatialdim, key->grid);
}
}
}
if (key->active) { // detected that all relevant parameters agree,
// no initialization is necessary
if (GENERAL_PRINTLEVEL>=2) ErrorMessage(Nothing, USEOLDINIT);
*error=NOERROR;
return; /* ***** END ***** */
}
// Delete stored, intermediate result if there is any
for (v=0; v<MAXCOV; v++) {
if (key->destruct[v]!=NULL) {
key->destruct[v](&(key->S[v]));
key->destruct[v] = NULL;
}
}
if (key->destructX!=NULL) {
key->destructX(&(key->SX));
key->destructX = NULL;
}
// Check
if (!key->anisotropy)
for (v=0; v<*ncov; v++) {
assert(fabs(key->param[v][SCALE] * key->param[v][INVSCALE]-1.0) < EPSILON);
}
// minor settings, usually overtaken from previous run, if all the
// other parameters are identical
// no further choice of TBM_METHOD !!!!!!!!!!!!! TO BE CHANGED IN FUTURE
// if (TBM_METHOD==Nothing) {key->tbm_method=CovList[*covnr].tbm_method;}
//else
{ key->tbm_method=TBM_METHOD;}
if (key->grid) {
if ((*lx!=3) ||
(InternalGetGridSize(key->x,&key->timespacedim,key->length))) {
*error=ERRORCOORDINATES; goto ErrorHandling;
}
for (d=key->timespacedim; d<MAXDIM; d++) key->length[d] = 1;
for (key->spatialtotalpoints=1, d=0; d<key->spatialdim; d++) {
key->spatialtotalpoints *= key->length[d];
}
key->totalpoints = key->spatialtotalpoints;
if (key->Time) key->totalpoints *= key->length[key->spatialdim];
// preference list
switch (key->timespacedim) {
case 1 : preference_list = pg1; break;
case 2 : preference_list = pg2; break;
case 3: case 4 : preference_list = pg3; break;
default : assert(false);
}
} else { // not grid
key->totalpoints = key->spatialtotalpoints = key->length[0]= *lx;
if (key->Time) {
int Tdim; Real *Tx[MAXDIM];
Tdim = 1;
Tx[0] = key->T;
if (InternalGetGridSize(Tx,&Tdim,&(key->length[key->spatialdim]))) {
*error=ERRORCOORDINATES; goto ErrorHandling;
}
key->totalpoints *= key->length[key->spatialdim];
}
// just to say that considering these values does not make sense
for (d=1; d<key->spatialdim; d++) key->length[d]=0;
// correct value for higher dimensions (never used)
for (d=key->timespacedim; d<MAXDIM; d++) key->length[d] = 1;
switch (key->timespacedim) {
case 1 : preference_list = png1; break;
case 2 : preference_list = png2; break;
case 3 : case 4 : preference_list = png3; break;
default : printkey(key); assert(false);
}
}
// simple (traditional in the sence of version 1.0 of RandomFields)
// definition of the covariance function?
key->traditional = (!key->anisotropy) && ((key->ncov==1) ||
((key->ncov==2) && ( (key->method[0]!=Nugget) &&
key->method[1]==Nugget) ));
// check (and set) method in case of multiplicative covariance function
// here, the internal first prefence might be overwritten
endfor = key->ncov - 1;
if (user_defined) {
for (v=0; v<endfor; v++) {
if (op[v]) { // *
if (method[v]!=method[v+1]) {*error=ERRORMETHODMIX; goto ErrorHandling;}
}
}
} else {
for (v=0; v<endfor; v++) {
if (op[v]) { // *
key->method[v] = key->method[v+1] = (key->grid) ? CircEmbed : TBM3;
}
}
}
for (v=0; v<*ncov; v++) first_method[v] = key->method[v];
// a first prefered method is tried, before the preference_list
// is consulted; first_method ist storred to avoid that
// it is tried a second time when consulting the preference_list
finished = false;
assert(*error==NOERROR);
extndd_nr = 0; // used if !traditional; has same role as act_number
// in the traditional case
for (v=0; v<*ncov; v++) key->left[v]=true;
// indicates which covariance function are left to be initialized
key->n_unimeth = 0;
act_number = -1;
last_incompatible = -1;
while (!finished) {
int err_occurred;
// printf("\nYY %d %d %d %d %d\n", key->n_unimeth, M, last_incompatible, user_defined, key->traditional); for (v=0; v<MAXCOV; v++) printf(" %d ", key->destruct[v]);
*error = err_occurred = NOERROR;// necessary in case ncov=0, since then
// the following loop is not entered
// create list of methods used
for (i=0; i<(int) Nothing; i++) { method_used[i] = false; }
for (v=0; v<key->ncov; v++) {
if (key->left[v]) {
method_used[key->method[v]] = true;
// if user_defined take over the user_defined one
// if !user_defined take specifically preferred one (for
// each covariance function)
}
}
for (m=CircEmbed; m<Nothing; m++)
if (method_used[m])
insert_method(&last_incompatible, key, (SimulationType) m);
// increments key->n_unimeth
assert((key->destructX==NULL) && (key->SX==NULL));
for (M=0; M<key->n_unimeth; M++) if (!key->unimeth_used[M]) {
bool left[MAXCOV];
key->unimeth_used[M] = true; // optimistic, corrected by delete_method,
// if method fails
for (v=0; v<key->ncov; v++) left[v] = key->left[v]; // sicherung,
// da init_method ueberschreibt und *danach* entscheidet, ob
// die methode funktioniert -- ueber key->method ist es zu schwierig
// da eine methode mehrmals verwendet werden kann
if (GENERAL_PRINTLEVEL>=4)
PRINTF("Init %d %s %d %s\n",M,
METHODNAMES[key->unimeth[M]], key->n_unimeth, "--");
// printf("\nXX %d %d %d %d %d\n", key->n_unimeth, M, last_incompatible, user_defined, key->traditional); for (v=0; v<MAXCOV; v++) printf(" %d ", key->destruct[v])
assert((key->destruct[M]==NULL));
assert((key->S[M]==NULL));
if (key->unimeth[M]>Special) {
err_occurred=ERRORMETHODNOTALLOWED; goto ErrorHandling;}
err_occurred = init_method[key->unimeth[M]](key, M);
if (GENERAL_PRINTLEVEL>=5) {
PRINTF("return code %d :", err_occurred);
ErrorMessage(Nothing, err_occurred);
}
if (err_occurred) {
if (err_occurred==NOERROR_REPEAT) {
insert_method(&last_incompatible, key, key->unimeth[M]);
err_occurred = NOERROR;
// incompatible here means that partial simulation results
// are not directly added to the final result by the algorithm
// E.g. TBM is incompatible since at the final a division is performed
} else if (err_occurred==NOERROR_ENDOFLIST) {
delete_method(&M, &last_incompatible, key);
err_occurred = NOERROR;
} else {
Merr = key->unimeth[M];
*error = err_occurred; // if not traditional, error may occur anywhere
// and final *error might be 0
// printf("\n%d %d %d %d %d\n",key->n_unimeth, M, last_incompatible, user_defined, key->traditional); for (v=0; v<MAXCOV; v++) printf(" %d ", key->destruct[v]);
if (user_defined || key->traditional) break;
delete_method(&M, &last_incompatible, key);
// printf("\nZZ %d %d %d %d %d\n",key->n_unimeth, M, last_incompatible, user_defined, key->traditional); for (v=0; v<MAXCOV; v++) printf(" %d ",key->destruct[v]);
for (v=0; v<key->ncov; v++) key->left[v] = left[v];
}
}
}
key->compatible = last_incompatible <= 0; // if at most one incompatible
// method, then no intermediate results must be stored
if (!(finished=user_defined || *error==NOERROR)) {
if (key->traditional) {
// tabula rasa, since the (true) covariance or the nugget may
// have failed; just to be sure...
for (m=0; m<key->n_unimeth; m++) {
if (key->destruct[m]!=NULL) key->destruct[m](&(key->S[m]));
key->destruct[m]=NULL;
}
if (key->destructX!=NULL) key->destructX(&(key->SX));
key->destructX=NULL;
key->n_unimeth = 0;
for (v=0; v<*ncov; v++) key->left[v]=true;
// indicates which covariance function are left to be initialized
// there is a first_method given by the programmer when defining
// a cov model; this method is tried first; afterwards the
// standard list of methods is checked; however the first_method
// should not be reconsidered!
if (GENERAL_PRINTLEVEL>1) ErrorMessage(key->method[0], *error);
act_number++; // within the preference list, act_number is initially -1
if (preference_list[act_number]==first_method[0]) {
// the new(next or first) method out of the standard list might be
// the first_method
act_number++;
}
key->method[0]=preference_list[act_number];
// end of the list?
finished=finished || (preference_list[act_number]==Nothing);
} else { // not traditional
assert(key->S[M]==NULL);
act_number++;
for (v=0; v<key->ncov; v++) {
if (key->left[v]) key->method[v] = preference_list[act_number];
}
finished=finished || (preference_list[act_number]==Nothing);
}
} //if !finished || err_occurred
} // while !finished
key->active = !*error;
if ((*error && (GENERAL_PRINTLEVEL>0)) ||
(!user_defined && GENERAL_PRINTLEVEL>1)) {
if (!user_defined && !key->traditional && *error)
PRINTF("algorithm failed. Last error has been: ");
if (*error && GENERAL_PRINTLEVEL>0) {
ErrorMessage(Merr, *error);
PRINTF("\n");
}
}
if (!key->active) goto ErrorHandling;
if (GENERAL_PRINTLEVEL>=4) PRINTF("Successfully initialised.\n");
return;
ErrorHandling:
DeleteKey(keyNr);
}
void DoPoissonRF(int *keyNr, Real *res, int *error)
{
// not programmed yet
assert(false);
}
void DoSimulateRF(int *keyNr, Real *res, int *error)
{
Real *part_result;
long nx, i, endfor, m;
key_type *key;
part_result = NULL;
key = &(KEY[*keyNr]);
*error=NOERROR;
if ((*keyNr<0) || (*keyNr>=MAXKEYS)) {
*error=ERRORKEYNROUTOFRANGE; goto ErrorHandling;
}
if (!key->active) {*error=ERRORNOTINITIALIZED; goto ErrorHandling;}
if (key->n_unimeth==0) {
for(i=0; i<key->totalpoints; i++) res[i] = key->mean;
return;
}
GetRNGstate();
if (!key->compatible) {
if ((part_result=(Real *) malloc(sizeof(Real) * key->totalpoints))
==NULL) {*error=ERRORMEMORYALLOCATION; goto ErrorHandling;}
}
for(m=0; m<key->n_unimeth; m++) {
if (GENERAL_PRINTLEVEL>=7)
PRINTF("DoSimu %d %s\n",m, METHODNAMES[key->unimeth[m]]);
if (do_compatiblemethod[key->unimeth[m]]!=NULL) {
if (GENERAL_PRINTLEVEL>=7) PRINTF("compatible: add=%d\n",m!=0);
do_compatiblemethod[key->unimeth[m]] (key, m!=0, m, res );
} else {
if (m==0) {
if (GENERAL_PRINTLEVEL>=7) PRINTF("incomp\n");
do_incompatiblemethod[key->unimeth[m]](key, m, res );
}
else {
if (GENERAL_PRINTLEVEL>=7) PRINTF("extra %d\n",key->compatible);
do_incompatiblemethod[key->unimeth[m]](key, m, part_result
);
for (i=0; i<key->totalpoints; i++) {
res[i] += part_result[i];
}
}
}
} // for m
if (key->mean!=0.0) {
for(i=0; i<key->totalpoints; i++) res[i] += key->mean;
}
if (part_result!=NULL) free(part_result);
if (! (key->active = GENERAL_STORING && key->storing)) DeleteKey(keyNr);
PutRNGstate();
return;
ErrorHandling:
PutRNGstate();
if (GENERAL_PRINTLEVEL>0) ErrorMessage(Nothing,*error);
if (part_result!=NULL) free(part_result);
key->active = false;
DeleteKey(keyNr);
return;
}
void SimulateRF(Real *x, Real *T, int *dim,int *lx, int *grid,
int *Time,
int *covnr, Real *ParamList, int *nParam,
Real *mean,
int *ncov, int *anisotropy, int *op,
int *method, int *distr,
int *keyNr,
Real *res, int *error)
{
// grid : boolean; if true then x,y,z are supposed to have three values:
// start, end, step
// if false then (x,y,z) is a list of points where the
// value of the random field should be simulated
// x,y,z : see grid; if z==NULL it is assumed that the field is at most
// 2 dimensional
// if y==z==NULL, the random field is 1 dimensional
// covnr : nr of covariance function by getCovFct,
// ParamList: vector with 5 to 8 elements
// see RFsimu.h, the definition of MEAN..KAPPAII, for the meaning
// of the components
// method : if <0 then programme chooses automatically for the method
// if ==-1 it starts with the preferred ("first") method for the
// specific covariance fct
// else starts search with previous successful method (if any)
// otherwise see list `SimulationType' in RFsimu.h
// keyNR : label where intermediate results should be stored
// res : array/grid of simulation results
InitSimulateRF(x, T, dim, lx, grid, Time, covnr, ParamList, nParam,
mean, ncov, anisotropy, op, method, distr, keyNr, error);
if (*error==NOERROR) {
DoSimulateRF(keyNr,res,error);
} else {
if (GENERAL_PRINTLEVEL>0) PRINTF(" ** All methods have failed. **\n");
}
}
Computing file changes ...
