- SEE ALSO
- COPYRIGHT AND LICENSE
Math::Random::Xorshift - a fast PRNG
my @seeds = (123_456_789, 362_436_069, 521_288_629, 88_675_123); # OO interface use Math::Random::Xorshift; my $rng = Math::Random::Xorshift->new(@seeds); $rng->srand(@seeds); my $n = $rng->rand; my $i = $rng->irand; # Functional interface use Math::Random::Xorshift qw/srand irand rand/; srand(@seeds); $n = rand(10); $i = irand;
This module is a straight forward implementation of Xorshift PRNG proposed by G. Marsaglia in 2003.
Note that the algorithm is extremely fast and passes the Diehard test though, is not reliable enough statistically (see "SEE ALSO" section). I think however this module is useful for games and suchlike usages.
If you want rather more reliability than fastness, I recommend Math::Random::MT.
None by default. You can import
irand to replace Perl's builtins. These functions manupilate static PRNG object in C level. So these are about 3-4x faster than OO interface, since there's no method resolution overhead.
Constructor. You can specify up to 4 seed(s). At least 1 seed value must not be zero. If no seeds are given, return value of
time(3) is used.
Returns unsigned random integer in range of [0, UINT32_MAX).
Returns random real number in range of [0, $upper_limit).
$upper_limit should be positive.
You can run bench.pl included in this distribution to benchmark on your machine.
Rate M::R::ISAAC#irand M::R::MT#rand M::R::ISAAC#rand M::R::Xorshift#rand M::R::Xorshift#irand M::R::Xorshift::irand M::R::Xorshift::rand CORE::rand M::R::ISAAC#irand 910221/s -- -2% -3% -64% -66% -89% -90% -96% M::R::MT#rand 927943/s 2% -- -1% -63% -66% -89% -90% -96% M::R::ISAAC#rand 936228/s 3% 1% -- -63% -65% -89% -90% -96% M::R::Xorshift#rand 2502283/s 175% 170% 167% -- -8% -71% -73% -88% M::R::Xorshift#irand 2706501/s 197% 192% 189% 8% -- -68% -71% -87% M::R::Xorshift::irand 8485586/s 832% 814% 806% 239% 214% -- -8% -59% M::R::Xorshift::rand 9175040/s 908% 889% 880% 267% 239% 8% -- -56% CORE::rand 20852364/s 2191% 2147% 2127% 733% 670% 146% 127% --
- Math::Random::MT - The Mersenne Twister PRNG
- G. Marsaglia, 2003, "Xorshift PRNGs" - Original paper
- F. Panneton and P. L'ecuyer, 2005, "On the xorshift random number generators" - According to this paper, Xorshift is not reliable
Koichi SATOH, <email@example.com>
The MIT License
Copyright (C) 2010 by Koichi SATOH
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