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
The library is separated into several header files, all within the
boost/random/ directory. Additionally, a convenience
header file which includes all other headers in
boost/random/ is available as
A front-end class template called
provided; please read the
documentation about it.
Several random number generators are available in the following header files; please read the documentation about these.
Similarly, several random number distributions are available in the following header files; please read the documentation about these.
Additionally, non-deterministic random number generators are available
in the header
Documentation is also available.
In order to map the interface of the generators and distribution functions to other concepts, some decorators are available.
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.
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 the
enum 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
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
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
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.
библиотека BOOST C++
перевод Elijah Koziev www.solarix.ru