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Boost Random Number Library
Random numbers are useful in a variety of applications. The Boost Random Number Library (Boost.Random for short) provides a vast variety of generators and distributions to produce random numbers having useful properties, such as uniform distribution.You should read the concepts documentation for an introduction and the definition of the basic concepts. For a quick start, it may be sufficient to have a look at random_demo.cpp.
For a very quick start, here's an example:
boost::mt19937 rng; // produces randomness out of thin air
// see pseudo-random number generators
boost::uniform_int<> six(1,6) // distribution that maps to 1..6
// see random number distributions
boost::variate_generator<boost::mt19937, boost::uniform_int<> >
die(rng, six); // glues randomness with mapping
int x = die(); // simulate rolling a die
Library Organization
The library is separated into several header files, all within theboost/random/ directory. Additionally, a convenience
header file which includes all other headers in
boost/random/ is available as
boost/random.hpp.
A front-end class template called variate_generate is
provided; please read the
documentation about it.
boost/random/linear_congruential.hppboost/random/additive_combine.hppboost/random/inversive_congruential.hppboost/random/shuffle_output.hppboost/random/mersenne_twister.hppboost/random/lagged_fibonacci.hpp
boost/random/uniform_smallint.hppboost/random/uniform_int.hppboost/random/uniform_01.hppboost/random/uniform_real.hppboost/random/triangle_distribution.hppboost/random/bernoulli_distribution.hppboost/random/cauchy_distribution.hppboost/random/exponential_distribution.hppboost/random/geometric_distribution.hppboost/random/normal_distribution.hppboost/random/lognormal_distribution.hppboost/random/uniform_on_sphere.hpp
<boost/nondet_random.hpp>.
Documentation is also available.
In order to map the interface of the generators and distribution functions to other concepts, some decorators are available.
Tests
An extensive test suite for the pseudo-random number generators and distributions is available as random_test.cpp.Some performance results obtained using random_speed.cpp are also available.
Rationale
The methods for generating and evaluating deterministic and non-deterministic random numbers differ radically. Furthermore, due to the inherent deterministic design of present-day computers, it is often difficult to implement non-deterministic random number generation facilities. Thus, the random number library is split into separate header files, mirroring the two different application domains.History and Acknowledgements
In November 1999, Jeet Sukumaran proposed a framework based on virtual functions, and later sketched a template-based approach. Ed Brey pointed out that Microsoft Visual C++ does not support in-class member initializations and suggested theenum workaround. Dave
Abrahams highlighted quantization issues.
The first public release of this random number library materialized in
March 2000 after extensive discussions on the boost mailing list.
Many thanks to Beman Dawes for his original min_rand
class, portability fixes, documentation suggestions, and general
guidance. Harry Erwin sent a header file which provided additional
insight into the requirements. Ed Brey and Beman Dawes wanted an
iterator-like interface.
Beman Dawes managed the formal review, during which Matthias Troyer, Csaba Szepesvari, and Thomas Holenstein gave detailed comments. The reviewed version became an official part of boost on 17 June 2000.
Gary Powell contributed suggestions for code cleanliness. Dave
Abrahams and Howard Hinnant suggested to move the basic generator
templates from namespace boost::detail to
boost::random.
Ed Brey asked to remove superfluous warnings and helped with
uint64_t handling. Andreas Scherer tested with MSVC.
Matthias Troyer contributed a lagged Fibonacci generator. Michael
Stevens found a bug in the copy semantics of normal_distribution and
suggested documentation improvements.
Jens Maurer, 2001-08-31

