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authorKarl Berry <karl@freefriends.org>2006-01-12 23:56:09 +0000
committerKarl Berry <karl@freefriends.org>2006-01-12 23:56:09 +0000
commit3c45ead856093bda97671c92bbc3fa9768918e91 (patch)
tree7cd45d8624b1693f5f61f9221074075d817feab2 /Master/texmf-dist/tex/latex/fp/fp-random.sty
parentf608edbff24385a77c97e230f31fe5c1fb422a71 (diff)
fp
git-svn-id: svn://tug.org/texlive/trunk@939 c570f23f-e606-0410-a88d-b1316a301751
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+\NeedsTeXFormat{LaTeX2e}
+\ProvidesPackage{fp-random}[1995/02/23]
+
+% Version information
+\def\FP@randomversion{1.0a}
+\message{%
+ `Fixed Point Random,%
+ \space\space\space\space\space\space%
+ \space\space\space\space\space\space\space%
+ Version \FP@randomversion%
+ \space(C) Denis Girou (CNRS/IDRIS)%
+ \space\space\space%
+}
+
+% Resolve dependencies
+\RequirePackage{fp-basic}
+
+% Uniform random value
+
+\newcount\FPseed % Seed value
+
+\def\FPrandom#1{%
+ % #1 macro, which gets the result
+ %
+ % Uniform random number generator (numbers between 0 and 1)
+ %
+ % Algorithm reproduce from a very old Fortran program (unknown origin!)
+ %
+ % double precision function RANF()
+ %
+ % integer SEED
+ % common /COMSEED/SEED
+ % *
+ % integer A,M,Q,R
+ % parameter(A=16807,M=2147483647,Q=127773,R=2836)
+ % *
+ % integer LO,HI,TEST
+ % *
+ % HI = SEED/Q
+ % LO = SEED-HI*Q
+ % TEST = A*LO-R*HI
+ % if(TEST.gt.0) then
+ % SEED = TEST
+ % else
+ % SEED = TEST+M
+ % endif
+ % *
+ % RANF = DFLOAT(SEED)/DFLOAT(M)
+ % *
+ % end
+ %
+ % The macro used a seed value, defined by the counter \FPseed.
+ % If it's unknown at first call, we used an arbitrary value.
+ %
+ % We verify that we obtain the same results as in Fortran
+ %
+ % The algorithm seems fairly good. With the Fortran version, we obtain
+ % typically something like 49954 numbers between 0 and 0.5 and 50046 between
+ % 0.5 and 1 for 100000 random numbers, depending of the seed value used.
+ %
+ % To generate a "pseudo-random" seed, you can consider to use the \time
+ % macro, to intialize the random numbers generator according to the time.
+ % Something like:
+ % \FPseed=\the\time
+ % \multiply\FPseed\the\day
+ % \multiply\FPseed\the\month
+ % \multiply\FPseed\the\year
+ %
+ % Of course, it is very slow comparing to "standard" programming
+ % languages. On a RS 6000 370, it's take 51s to generate 100 numbers,
+ % loading time of the test program included (and 0.2s for the Fortran
+ % version ... for 100000 numbers!)
+ % But you must also notice that Hans van der Meer published in TUGboat
+ % Vol. 15, 1, March 1994, pages 57-58, an article on "Random bit generator
+ % in TeX". In fact, he doesn't give a complete solution to generate uniform
+ % random numbers, but at least give some interesting ideas, and also the
+ % code of a simple but powerful macro \SRtest{choice 1}{choice 2}, which
+ % allow to execute the instructions of "choice 1" or those of "choice 2"
+ % with a probability of 1/2 each. As his method is based on shifts of bits
+ % with almost no computations, it's very fast (around 1000 faster than to do
+ % the same thing that \SRtest with \FPrandom.)
+ %
+ {\FP@beginmessage{RANDOM}%
+ %
+ \ifnum\FPseed=0%
+ \FPseed=123456789%
+ \FP@debug{random: seed value undefined! We will used \the\FPseed.^^J%
+ Define it if you want to generate a different sequence of random%
+ numbers.}%
+ \else%
+ \FP@debug{random: seed value used: \the\FPseed}%
+ \fi%
+ %
+ \FP@xia=\FPseed%
+ \divide\FP@xia by 127773%
+ \FP@xib=\FP@xia%
+ \multiply\FP@xib by 127773%
+ \advance\FP@xib by -\FPseed%
+ \FP@xib=-\FP@xib%
+ \multiply\FP@xia by 2836%
+ \FPseed=\FP@xib%
+ \multiply\FPseed by 16807%
+ \advance\FPseed by -\FP@xia%
+ %
+ \ifnum\FPseed>0%
+ \else%
+ \advance\FPseed by 2147483647%
+ \fi%
+ \FPdiv\FP@tmpa{\the\FPseed}{2147483647}%
+ \global\let\FP@tmp\FP@tmpa%
+ \global\FPseed=\FPseed%
+ \FP@debug{random: random number: \FP@tmp\space%
+ (new seed value: \the\FPseed)}%
+ %
+ \FP@endmessage{}%
+ }%
+ \let#1\FP@tmp%
+}
+
+\endinput