中文

A Generic Random Number Generator Test Suite

统计理论 2007-06-13 v1 统计力学 高能物理 - 格点 计算物理 统计理论

摘要

The heart of every Monte Carlo simulation is a source of high quality random numbers and the generator has to be picked carefully. Since the ``Ferrenberg affair'' it is known to a broad community that statistical tests alone do not suffice to determine the quality of a generator, but also application-based tests are needed. With the inclusion of an extensible random number library and the definition of a generic interface into the revised C++ standard it will be important to have access to an extensive C++ random number test suite. Most currently available test suites are limited to a subset of tests are written in Fortran or C and cannot easily be used with the C++ random number generator library.

引用

@article{arxiv.math/0410385,
  title  = {A Generic Random Number Generator Test Suite},
  author = {Mario Ruetti and Matthias Troyer and Wesley P. Petersen},
  journal= {arXiv preprint arXiv:math/0410385},
  year   = {2007}
}

备注

11 pages, sources are available from http://www.comp-phys.org/rngts