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diff --git a/website/archive/binaries/mac/src/disembl/Tisean_3.0.1/source_c/rbf.c b/website/archive/binaries/mac/src/disembl/Tisean_3.0.1/source_c/rbf.c
new file mode 100644
index 0000000..75c2b48
--- /dev/null
+++ b/website/archive/binaries/mac/src/disembl/Tisean_3.0.1/source_c/rbf.c
@@ -0,0 +1,383 @@
+/*
+ *   This file is part of TISEAN
+ *
+ *   Copyright (c) 1998-2007 Rainer Hegger, Holger Kantz, Thomas Schreiber
+ *
+ *   TISEAN 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.
+ *
+ *   TISEAN 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 TISEAN; if not, write to the Free Software
+ *   Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
+ */
+/*Author: Rainer Hegger. Last modified: Mar 11, 2002 */
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <limits.h>
+#include "routines/tsa.h"
+#include <math.h>
+
+#define WID_STR "Fits a RBF-model to the data"
+
+char *outfile=NULL,stdo=1,MAKECAST=0;
+char *infile=NULL;
+char setdrift=1;
+int DIM=2,DELAY=1,CENTER=10,STEP=1;
+unsigned int COLUMN=1;
+unsigned int verbosity=0xff;
+long CLENGTH=1000;
+unsigned long LENGTH=ULONG_MAX,INSAMPLE=ULONG_MAX,exclude=0;
+
+double *series,*coefs;
+double varianz,interval,min;
+double **center;
+
+void show_options(char *progname)
+{
+  what_i_do(progname,WID_STR);
+  fprintf(stderr," Usage: %s [options]\n",progname);
+  fprintf(stderr," Options:\n");
+  fprintf(stderr,"Everything not being a valid option will be interpreted"
+          " as a possible"
+          " datafile.\nIf no datafile is given stdin is read. Just - also"
+          " means stdin\n");
+  fprintf(stderr,"\t-l # of data to use [default: all from file]\n");
+  fprintf(stderr,"\t-x # of lines to be ignored [default: 0]\n");
+  fprintf(stderr,"\t-c column to read [default: %u]\n",COLUMN);
+  fprintf(stderr,"\t-m embedding dimension [default: %d]\n",DIM);
+  fprintf(stderr,"\t-d delay [default: %d]\n",DELAY);
+  fprintf(stderr,"\t-p number of centers [default: %d]\n",CENTER);
+  fprintf(stderr,"\t-X deactivate drift [default: activated]\n");
+  fprintf(stderr,"\t-s steps to forecast [default: %d]\n",STEP);
+  fprintf(stderr,"\t-n # of points for insample [default: # of data]\n");
+  fprintf(stderr,"\t-L steps to cast [default: none]\n");
+  fprintf(stderr,"\t-o output file name [default: 'datafile'.rbf]\n");
+  fprintf(stderr,"\t-V verbosity level [default: 1]\n\t\t"
+          "0='only panic messages'\n\t\t"
+          "1='+ input/output messages'\n");
+  fprintf(stderr,"\t-h show these options\n");
+  exit(0);
+}
+
+void scan_options(int n,char **in)
+{
+  char *out;
+
+  if ((out=check_option(in,n,'l','u')) != NULL)
+    sscanf(out,"%lu",&LENGTH);
+  if ((out=check_option(in,n,'x','u')) != NULL)
+    sscanf(out,"%lu",&exclude);
+  if ((out=check_option(in,n,'c','u')) != NULL)
+    sscanf(out,"%u",&COLUMN);
+  if ((out=check_option(in,n,'m','u')) != NULL)
+    sscanf(out,"%u",&DIM);
+  if ((out=check_option(in,n,'d','u')) != NULL)
+    sscanf(out,"%u",&DELAY);
+  if ((out=check_option(in,n,'p','u')) != NULL)
+    sscanf(out,"%u",&CENTER);
+  if ((out=check_option(in,n,'X','n')) != NULL)
+    setdrift=0;
+  if ((out=check_option(in,n,'s','u')) != NULL)
+    sscanf(out,"%u",&STEP);
+  if ((out=check_option(in,n,'V','u')) != NULL)
+    sscanf(out,"%u",&verbosity);
+  if ((out=check_option(in,n,'n','u')) != NULL)
+    sscanf(out,"%lu",&INSAMPLE);
+  if ((out=check_option(in,n,'L','u')) != NULL) {
+    MAKECAST=1;
+    sscanf(out,"%lu",&CLENGTH);
+  }
+  if ((out=check_option(in,n,'o','o')) != NULL) {
+    stdo=0;
+    if (strlen(out) > 0)
+      outfile=out;
+  }
+}
+
+double avdistance(void)
+{
+  int i,j,k;
+  double dist=0.0;
+  
+  for (i=0;i<CENTER;i++)
+    for (j=0;j<CENTER;j++)
+      if (i != j)
+	for (k=0;k<DIM;k++)
+	  dist += sqr(center[i][k]-center[j][k]);
+
+  return sqrt(dist/(CENTER-1)/CENTER/DIM);
+}
+
+double rbf(double *act,double *cen)
+{
+  static double denum;
+  double r=0;
+  int i;
+
+  denum=2.0*varianz*varianz;
+
+  for (i=0;i<DIM;i++)
+    r += sqr(*(act-i*DELAY)-cen[i]);
+  
+  return exp(-r/denum);
+}
+
+void drift(void) 
+{
+  double *force,h,h1,step=1e-2,step1;
+  int i,j,k,l,d2=DIM;
+
+  check_alloc(force=(double*)malloc(sizeof(double)*d2));
+  for (l=0;l<20;l++) {
+    for (i=0;i<CENTER;i++) {
+      for (j=0;j<d2;j++) {
+        force[j]=0.0;
+        for (k=0;k<CENTER;k++) {
+          if (k != i) {
+            h=center[i][j]-center[k][j];
+            force[j] += h/sqr(h)/fabs(h);
+          }
+        }
+      }
+      h=0.0;
+      for (j=0;j<d2;j++) 
+        h += sqr(force[j]);
+      step1=step/sqrt(h);
+      for (j=0;j<d2;j++) {
+        h1 = step1*force[j];
+        if (((center[i][j]+h1) > -0.1) && ((center[i][j]+h1) < 1.1))
+          center[i][j] += h1;
+      }
+    }
+  }
+  free(force);
+}
+
+void make_fit(void)
+{
+  double **mat,*hcen;
+  double h;
+  int i,j,n,nst;
+
+  check_alloc(mat=(double**)malloc(sizeof(double*)*(CENTER+1)));
+  for (i=0;i<=CENTER;i++)
+    check_alloc(mat[i]=(double*)malloc(sizeof(double)*(CENTER+1)));
+  check_alloc(hcen=(double*)malloc(sizeof(double)*CENTER));
+
+  for (i=0;i<=CENTER;i++) {
+    coefs[i]=0.0;
+    for (j=0;j<=CENTER;j++)
+      mat[i][j]=0.0;
+  }
+
+  for (n=(DIM-1)*DELAY;n<INSAMPLE-STEP;n++) {
+    nst=n+STEP;
+    for (i=0;i<CENTER;i++)
+      hcen[i]=rbf(&series[n],center[i]);
+    coefs[0] += series[nst];
+    mat[0][0] += 1.0;
+    for (i=1;i<=CENTER;i++)
+      mat[i][0] += hcen[i-1];
+    for (i=1;i<=CENTER;i++) {
+      coefs[i] += series[nst]*(h=hcen[i-1]);
+      for (j=1;j<=i;j++)
+	mat[i][j] += h*hcen[j-1];
+    }
+  }
+  
+  h=(double)(INSAMPLE-STEP-(DIM-1)*DELAY);
+  for (i=0;i<=CENTER;i++) {
+    coefs[i] /= h;
+    for (j=0;j<=i;j++) {
+      mat[i][j] /= h;
+      mat[j][i]=mat[i][j];
+    }
+  }
+
+  solvele(mat,coefs,(unsigned int)(CENTER+1));
+
+  for (i=0;i<=CENTER;i++)
+    free(mat[i]);
+  free(mat);
+  free(hcen);
+}
+
+double forecast_error(unsigned long i0,unsigned long i1)
+{
+  int i,n;
+  double h,error=0.0;
+
+  for (n=i0+(DIM-1)*DELAY;n<i1-STEP;n++) {
+    h=coefs[0];
+    for (i=1;i<=CENTER;i++)
+      h += coefs[i]*rbf(&series[n],center[i-1]);
+    error += (series[n+STEP]-h)*(series[n+STEP]-h);
+  }
+  
+  return sqrt(error/(i1-i0-STEP-(DIM-1)*DELAY));
+}
+
+void make_cast(FILE *out)
+{
+  double *cast,new_el;
+  int i,n,dim;
+  
+  dim=(DIM-1)*DELAY;
+  check_alloc(cast=(double*)malloc(sizeof(double)*(dim+1)));
+  for (i=0;i<=dim;i++)
+    cast[i]=series[LENGTH-1-dim+i];
+  
+  for (n=0;n<CLENGTH;n++) {
+    new_el=coefs[0];
+    for (i=1;i<=CENTER;i++)
+      new_el += coefs[i]*rbf(&cast[dim],center[i-1]);
+    fprintf(out,"%e\n",new_el*interval+min);
+    for (i=0;i<dim;i++)
+      cast[i]=cast[i+1];
+    cast[dim]=new_el;
+  }
+}
+
+int main(int argc,char **argv)
+{
+  char stdi=0;
+  int i,j,cstep;
+  double sigma,av;
+  FILE *file=NULL;
+
+  if (scan_help(argc,argv))
+    show_options(argv[0]);
+
+  scan_options(argc,argv);
+#ifndef OMIT_WHAT_I_DO
+  if (verbosity&VER_INPUT)
+    what_i_do(argv[0],WID_STR);
+#endif
+
+  infile=search_datafile(argc,argv,&COLUMN,verbosity);
+  if (infile == NULL) 
+    stdi=1;
+
+  if (outfile == NULL) {
+    if (!stdi) {
+      check_alloc(outfile=(char*)calloc(strlen(infile)+5,(size_t)1));
+      strcpy(outfile,infile);
+      strcat(outfile,".rbf");
+    }
+    else {
+      check_alloc(outfile=(char*)calloc((size_t)10,(size_t)1));
+      strcpy(outfile,"stdin.rbf");
+    }
+  }
+  if (!stdo)
+    test_outfile(outfile);
+
+  series=(double*)get_series(infile,&LENGTH,exclude,COLUMN,verbosity);
+  rescale_data(series,LENGTH,&min,&interval);
+  variance(series,LENGTH,&av,&varianz);
+
+  if (INSAMPLE > LENGTH)
+    INSAMPLE=LENGTH;
+  
+  if (CENTER > LENGTH) 
+    CENTER = LENGTH;
+  
+  if (MAKECAST)
+    STEP=1;
+  
+  check_alloc(coefs=(double*)malloc(sizeof(double)*(CENTER+1)));
+  check_alloc(center=(double**)malloc(sizeof(double*)*CENTER));
+  for (i=0;i<CENTER;i++)
+    check_alloc(center[i]=(double*)malloc(sizeof(double)*DIM));
+  
+  cstep=LENGTH-1-(DIM-1)*DELAY;
+  for (i=0;i<CENTER;i++)
+    for (j=0;j<DIM;j++)
+      center[i][j]=series[(DIM-1)*DELAY-j*DELAY+(i*cstep)/(CENTER-1)];
+
+  if (setdrift)
+    drift();
+  varianz=avdistance();
+  make_fit();
+
+  if (!stdo) {
+    file=fopen(outfile,"w");
+    if (verbosity&VER_INPUT)
+      fprintf(stderr,"Opened %s for writing\n",outfile);
+    fprintf(file,"#Center points used:\n");
+    for (i=0;i<CENTER;i++) {
+      fprintf(file,"#");
+      for (j=0;j<DIM;j++)
+	fprintf(file," %e",center[i][j]*interval+min);
+      fprintf(file,"\n");
+    }
+    fprintf(file,"#variance= %e\n",varianz*interval);
+    fprintf(file,"#Coefficients:\n");
+    fprintf(file,"#%e\n",coefs[0]*interval+min);
+    for (i=1;i<=CENTER;i++)
+      fprintf(file,"#%e\n",coefs[i]*interval);
+  }
+  else {
+    if (verbosity&VER_INPUT)
+      fprintf(stderr,"Writing to stdout\n");
+    fprintf(stdout,"#Center points used:\n");
+    for (i=0;i<CENTER;i++) {
+      fprintf(stdout,"#");
+      for (j=0;j<DIM;j++)
+	fprintf(stdout," %e",center[i][j]*interval+min);
+      fprintf(stdout,"\n");
+    }
+    fprintf(stdout,"#variance= %e\n",varianz*interval);
+    fprintf(stdout,"#Coefficients:\n");
+    fprintf(stdout,"#%e\n",coefs[0]*interval+min);
+    for (i=1;i<=CENTER;i++)
+      fprintf(stdout,"#%e\n",coefs[i]*interval);
+  }
+  av=sigma=0.0;
+  for (i=0;i<INSAMPLE;i++) {
+    av += series[i];
+    sigma += series[i]*series[i];
+  }
+  av /= INSAMPLE;
+  sigma=sqrt(fabs(sigma/INSAMPLE-av*av));
+  if (!stdo)
+    fprintf(file,"#insample error= %e\n",forecast_error(0LU,INSAMPLE)/sigma);
+  else
+    fprintf(stdout,"#insample error= %e\n",forecast_error(0LU,INSAMPLE)/sigma);
+
+  if (INSAMPLE < LENGTH) {
+    av=sigma=0.0;
+    for (i=INSAMPLE;i<LENGTH;i++) {
+      av += series[i];
+      sigma += series[i]*series[i];
+    }
+    av /= (LENGTH-INSAMPLE);
+    sigma=sqrt(fabs(sigma/(LENGTH-INSAMPLE)-av*av));
+    if (!stdout)
+      fprintf(file,"#out of sample error= %e\n",
+	      forecast_error(INSAMPLE,LENGTH)/sigma);
+    else
+      fprintf(stdout,"#out of sample error= %e\n",
+	      forecast_error(INSAMPLE,LENGTH)/sigma);
+  }
+
+  if (MAKECAST) {
+    if (!stdo)
+      make_cast(file);
+    else
+      make_cast(stdout);
+  }
+
+  if (!stdo)
+    fclose(file);
+
+  return 0;
+}