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Mersenne
Random number generator class using the Mersenne Twister algorithm
Controller: CodeCogs
Interface
C++
Class Mersenne
This class provides a very fast and very long period random number generator using Makoto Matsumoto's and Takuji Nishimura's Mersenne Twister algorithm. It produces uniformly distributed pseudo-random 32-bit values with period ofAlgorithm:
To give you an idea of the running time for each of the functions, here are the results for generating 100,000,000 random numbers on a 750MHz microprocessor :- genReal 4 seconds
- genInt 4 seconds
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References:
- The Mersenne Twister algorithm made by Makoto Matsumoto and Takuji Nishimura.
- "The Art of Computer Programming", Donald Knuth, Volume 2 3rd Ed. P.106
- The Newran03 random number generator library of Robert Davies, http://www.robertnz.net/nr03doc.htm
Example 1
- The following example displays 20 random floating point numbers and 20 random large integers.
It uses two different generators to achieve this. The first generator uses the system timer to
initialize the seed, while the second is simply initialized with a particular value.
Notice that it was necessary to divide the timer with the CARRYDIV value in order to
keep the seed in the (0, 1) interval. The output of the first generator will obviously vary
with each execution of the program, while the output of the second will always be the same if the seed is never changed.
#include <iostream> #include <time.h> #include <codecogs/statistics/random/mersenne.h> using namespace std; int main() { Stats::Random::Mersenne A(time(0) / MERSENNEDIV); Stats::Random::Mersenne B(0.638); for (int i = 0; i < 20; ++i) cout << A.genReal() << endl; cout << endl; for (int i = 0; i < 20; ++i) cout << B.genInt() << endl; return 0; }
Authors
- Lucian Bentea (August 2005)
Source Code
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Members of Mersenne
Mersenne
Mersenne( double s = 0.46875
)[constructor] s Default value = 0.46875
SetSeed
voidsetSeed( double s ) s Seed must be in the (0, 1) interval (endpoints are excluded).