MIXMAX generator

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MIXMAX generator
Classpseudorandom number generator
Data structureArray
Worst-case performanceO(n)
Best-case performanceO(n)
Average performanceO(n)
Worst-case space complexityO(n)

The MIXMAX generator is a family of pseudorandom number generators (PRNG) and is based on Anosov C-systems (Anosov diffeomorphism) and Kolmogorov K-systems (Kolmogorov automorphism). It was introduced in a 1986 preprint by G. Savvidy and N. Ter-Arutyunyan-Savvidy and published in 1991.[1]

A fast implementation in C/C++ of the generator was developed by Konstantin Savvidy.[2] It is genuine 64-bit generator. The period of the generator is and the Kolmogorov entropy is for the matrix size .[3] That generator occupies less than 2 kb, and if a smaller generator state is required, a N = 17 version with less than 200 bytes memory requirement also exists.

The generator works on most 64-bit systems, including 64-bit Linux flavors and Intel Mac. It has also been tested on PPC and ARM architectures. The latest version also runs on 32-bit systems and on Windows. The generator is equally usable with C++ programs,[4] has been chosen as the default generator in CLHEP[5] for use in Geant4[6] and there exists a ROOT interface [7] and a PYTHIA interface. [8] It has been recently tested extensively on very wide variety of platforms, as part of the CLHEP/Geant4 release. EU-funded MIXMAX project [9]

An analysis by L’Ecuyer, Wambergue and Bourceret,[10] see also,[11] showed that MIXMAX generators has a lattice structure when the produced random numbers are considered in n - dimensional space larger than the dimension N of the matrix generator, and only in that high dimensions n > N they lie on a set of parallel hyperplanes and determined the maximum distance between the covering hyperplanes.


  1. ^ Savvidy, G.K; Ter-Arutyunyan-Savvidy, N.G (1991). "On the Monte Carlo simulation of physical systems". Journal of Computational Physics. 97 (2): 566. Bibcode:1991JCoPh..97..566S. doi:10.1016/0021-9991(91)90015-D.
  2. ^ Savvidy, K. (2015). "The MIXMAX Random Number Generator". Computer Physics Communications. 196: 161–165. arXiv:1403.5355. Bibcode:2015CoPhC.196..161S. doi:10.1016/j.cpc.2015.06.003. S2CID 16908633.
  3. ^ Savvidy, K.; Savvidy, G. (2015). "Spectrum and Entropy of C-systems MIXMAX Random Number Generator". Chaos, Solitons and Fractals. 91: 33–38. arXiv:1510.06274. Bibcode:2016CSF....91...33S. doi:10.1016/j.chaos.2016.05.003. S2CID 119291387.
  4. ^ "boost". proj-www.boost.org.
  5. ^ "CLHEP". proj-clhep.web.cern.ch.
  6. ^ "Geant4". proj-clhep.web.cern.ch. 15 December 2022.
  7. ^ "ROOT - ROOT::Math::MixMaxEngine Class". root.cern.ch. Retrieved 2016-04-09.
  8. ^ "PYTHIA - PYTHIA::Random::MixMaxRndm class". thep.lu.se. Retrieved 2022-01-01.
  9. ^ "Fastest random number generator could cut energy bills". commission.europa.eu/index_en.
  10. ^ L’Ecuyer, Pierre; Wambergue, Paul; Bourceret, Erwan (September 22, 2017). "Spectral Analysis of the MIXMAX Random Number Generators" (PDF).
  11. ^ Martirosyan, N.; Savvidy, K.; Savvidy, G. (Nov 19, 2018). "Spectral Test of the MIXMAX Random Number Generator". Chaos, Solitons and Fractals. 118: 242–248. arXiv:1806.05243. doi:10.1016/j.chaos.2018.11.024. S2CID 51687163.

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