+++ /dev/null
-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
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