Mac binaries

[jabaws.git] / website / archive / binaries / mac / src / disembl / Tisean_3.0.1 / source_f / c2naive.f

diff --git a/website/archive/binaries/mac/src/disembl/Tisean_3.0.1/source_f/c2naive.f b/website/archive/binaries/mac/src/disembl/Tisean_3.0.1/source_f/c2naive.f
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+c===========================================================================
+c
+c   This file is part of TISEAN
+c 
+c   Copyright (c) 1998-2007 Rainer Hegger, Holger Kantz, Thomas Schreiber
+c 
+c   TISEAN is free software; you can redistribute it and/or modify
+c   it under the terms of the GNU General Public License as published by
+c   the Free Software Foundation; either version 2 of the License, or
+c   (at your option) any later version.
+c
+c   TISEAN is distributed in the hope that it will be useful,
+c   but WITHOUT ANY WARRANTY; without even the implied warranty of
+c   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+c   GNU General Public License for more details.
+c
+c   You should have received a copy of the GNU General Public License
+c   along with TISEAN; if not, write to the Free Software
+c   Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
+c
+c===========================================================================
+c   c2naive.f
+c   correlation integral c2, no fast neighbour search
+c   complete direct neighbour search
+c   author T. Schreiber (1998)
+c   modified H. Kantz, Feb. 2007
+c===========================================================================
+
+      parameter(nx=1000000,me=30,meps=800)
+      dimension x(nx), c(0:meps,me)
+c j=a*(log(d)-log(xmax-xmin))    d=xmax-xmin -> j=0
+c a=-rs/log(2.)                  d=s*2**(-j/res)
+      character*72 file, fout
+      data res/2./
+      data iverb/1/
+
+      call whatido("correlation sum, complete naive neighbour search,
+     .univariate data only"
+     .             ,iverb)
+      call whatido("univariate data only",iverb)
+      id=imust("d")
+      mmax=imust("M")
+      mmin=ican("m",1)
+      ntmin=imust("t")
+      ntmax=ican("T",nx)
+      res=fcan("#",res)
+      nmaxx=ican("l",nx)
+      nexcl=ican("x",0)
+      jcol=ican("c",0)
+      isout=igetout(fout,iverb)
+      if(fout.eq." ") isout=1
+
+      do 10 ifi=1,nstrings()
+         call nthstring(ifi,file)
+         nmax=nmaxx
+         call readfile(nmax,x,nexcl,jcol,file,iverb)
+         if(file.eq."-") file="stdin"
+         if(isout.eq.1) call addsuff(fout,file,"_c2")
+         call minmax(nmax,x,xmin,xmax)
+         sc=xmax-xmin
+         a=-res/log(2.)
+         do 20 m=mmin,mmax
+            do 20 j=0,meps
+ 20            c(j,m)=0.
+         call d2naive(nmax,x,id,mmin,mmax,c,meps,log(sc),a,ntmin,ntmax)
+         call outfile(fout,iunit,iverb)
+         do 30 m=mmin,mmax
+            write(iunit,'(4h#m= ,i5)') m
+            do 40 j=meps-1,0,-1
+ 40            c(j,m)=c(j,m)+c(j+1,m)
+            do 50 j=0,meps
+               if(c(j,m).eq.0.) goto 1
+ 50            write(iunit,*) sc*2**(-j/res), c(j,m)/c(0,m)
+ 1          write(iunit,'()')
+ 30         write(iunit,'()')
+         close(iunit)
+ 10      continue
+      end
+
+      subroutine usage()
+c usage message
+
+      call whatineed(
+     .   "-d# -M# -t# [-m# -##"//
+     .   " -o outfile -l# -x# -c# -V# -h] file(s)")
+      call popt("d","delay")
+      call popt("M","maximal embedding dimension")
+      call popt("t","minimal time separation")
+      call popt("m","minimal embedding dimension [1]")
+      call popt("#","resolution, values per octave [2]")
+c      call popt("T","for Guido")
+      call popt("l","number of values to be read [all]")
+      call popt("x","number of values to be skipped [0]")
+      call popt("c","column to be read [1 or file,#]")
+      call pout("file_c2")
+      call pall()
+      stop
+      end
+
+      subroutine d2naive(nmax,x,id,mmin,mmax,c,meps,scl,a,ntmin,ntmax)
+      parameter(nx=1000000,tiny=1e-30)
+      dimension x(nmax),c(0:meps,mmax),d(nx)
+
+      if(nmax.gt.nx) stop "d2naive: make nx larger."
+      nlast=min(nmax-(mmax-1)*id-1,ntmax)
+      do 10 ndt=ntmin,nlast
+         do 20 n=ndt+1,nmax
+ 20         d(n)=max(abs(x(n)-x(n-ndt)),tiny)
+         do 10 n=ndt+1+(mmax-1)*id,nmax
+            dmax=d(n)
+            do 30 m=2,mmin-1
+ 30            dmax=max(dmax,d(n-(m-1)*id))
+            j=int(a*(log(dmax)-scl))
+            do 10 m=mmin,mmax
+               if(d(n-(m-1)*id).gt.dmax) then
+                  dmax=d(n-(m-1)*id)
+                  j=int(a*(log(dmax)-scl))
+               endif
+ 10            c(j,m)=c(j,m)+1
+      end