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[jabaws.git] / website / archive / binaries / mac / src / disembl / Tisean_3.0.1 / source_f / c1.f

diff --git a/website/archive/binaries/mac/src/disembl/Tisean_3.0.1/source_f/c1.f b/website/archive/binaries/mac/src/disembl/Tisean_3.0.1/source_f/c1.f
deleted file mode 100644 (file)
index e770046..0000000
--- a/website/archive/binaries/mac/src/disembl/Tisean_3.0.1/source_f/c1.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   information dimension, fixed mass
-c   see  H. Kantz, T. Schreiber, Nonlinear Time Series Analysis, Cambridge
-c      University Press (1997)
-c   author T. Schreiber (1999)
-c===========================================================================
-
-      parameter(nx=100000,mx=10)
-      dimension x(nx,mx), icol(mx)
-      character*72 file, fout
-      data kmax/100/, res/2./
-      data iverb/1/
-      external rand
-
-      call whatido("fixed mass approach to d1 estimation",iverb)
-      id=imust("d")
-      mfrom=imust("m")
-      mto=imust("M")
-      ntmin=imust("t")
-      ncmin=imust("n")
-      res=fcan("#",res)
-      r=rand(sqrt(abs(fcan("I",0.0))))
-      kmax=ican("K",kmax)
-      resl=log(2.)/res
-      nmax=ican("l",nx)
-      nexcl=ican("x",0)
-      call columns(mc,mx,icol)
-      mcmax=max(1,mc)
-      isout=igetout(fout,iverb)
-      if(fout.eq." ") isout=1
-
-      call nthstring(1,file)
-      call xreadfile(nmax,mcmax,nx,x,nexcl,icol,file,iverb)
-      if(file.eq."-") file="stdin"
-      if(isout.eq.1) call addsuff(fout,file,"_c1")
-      call outfile(fout,iunit,iverb)
-      do 10 m=mfrom,mto
-         write(iunit,'(4h#m= ,i5)') m
-         pr=0.
-         do 20 pl=log(1./(nmax-(m-1)*id)),0.,resl
-            pln=pl
-            call d1(nmax,mcmax,nx,x,id,m,ncmin,pr,pln,rln,ntmin,kmax)
-            if(pln.eq.pr) goto 20
-            it=it+1
-            pr=pln
-            write(iunit,*)   exp(rln), exp(pln)
- 20         continue
-         write(iunit,'()')
- 10      write(iunit,'()')
-      end
-
-      subroutine usage()
-c usage message
-
-      call whatineed(
-     .   "-d# -m# -M# -t# -n# "//
-     .   "[-## -K# -o outfile -I# -l# -x# -c#,# -V# -h] file")
-      call popt("d","delay")
-      call popt("m","minimal total embedding dimension")
-      call popt("M","maximal total embedding dimension")
-      call popt("t","minimal time separation")
-      call popt("n","minimal number of center points")
-      call popt("#","resolution, values per octave (2)")
-      call popt("K","maximal number of neighbours (100)")
-      call popt("I","seed for random numbers")
-      call popt("l","number of values to be read (all)")
-      call popt("x","number of values to be skipped (0)")
-      call popt("c","column(s) to be read (1 or file,#)")
-      call pout("file_c1")
-      call pall()
-      stop
-      end