Source: haskell-mwc-random Priority: optional Section: misc Maintainer: Clifford Beshers Build-Depends: debhelper (>= 7.0), haskell-devscripts (>= 0.6.15+nmu7), hscolour, cdbs, ghc6 (>= 6.8), ghc6-prof, libghc6-primitive-prof, libghc6-vector-prof (>= 0.5) Build-Depends-Indep: ghc6-doc, haddock, libghc6-primitive-doc, libghc6-vector-doc (>= 0.5) Standards-Version: 3.8.1 Homepage: http://bitbucket.org/bos/mwc-random Package: libghc6-mwc-random-dev Architecture: any Section: haskell Depends: ${haskell:Depends}, ${misc:Depends} Description: Fast, high quality pseudo random number generation This package contains code for generating high quality random numbers that follow either a uniform or normal distribution. The generated numbers are suitable for use in statistical applications. . The uniform PRNG uses Marsaglia's MWC256 (also known as MWC8222) multiply-with-carry generator, which has a period of 2^8222 and fares well in tests of randomness. It is also extremely fast, between 2 and 3 times faster than the Mersenne Twister. . Compared to the mersenne-random package, this package has a more convenient API, is faster, and supports more statistical distributions. . Author: Bryan O'Sullivan Upstream-Maintainer: Bryan O'Sullivan . This package contains the normal library files. Package: libghc6-mwc-random-prof Architecture: any Section: haskell Depends: ${haskell:Depends}, ${misc:Depends}, libghc6-mwc-random-dev Description: Fast, high quality pseudo random number generation This package contains code for generating high quality random numbers that follow either a uniform or normal distribution. The generated numbers are suitable for use in statistical applications. . The uniform PRNG uses Marsaglia's MWC256 (also known as MWC8222) multiply-with-carry generator, which has a period of 2^8222 and fares well in tests of randomness. It is also extremely fast, between 2 and 3 times faster than the Mersenne Twister. . Compared to the mersenne-random package, this package has a more convenient API, is faster, and supports more statistical distributions. . Author: Bryan O'Sullivan Upstream-Maintainer: Bryan O'Sullivan . This package contains the libraries compiled with profiling enabled. Package: libghc6-mwc-random-doc Architecture: all Section: doc Depends: ${haskell:Depends}, ${misc:Depends}, ghc6-doc Description: Fast, high quality pseudo random number generation This package contains code for generating high quality random numbers that follow either a uniform or normal distribution. The generated numbers are suitable for use in statistical applications. . The uniform PRNG uses Marsaglia's MWC256 (also known as MWC8222) multiply-with-carry generator, which has a period of 2^8222 and fares well in tests of randomness. It is also extremely fast, between 2 and 3 times faster than the Mersenne Twister. . Compared to the mersenne-random package, this package has a more convenient API, is faster, and supports more statistical distributions. . Author: Bryan O'Sullivan Upstream-Maintainer: Bryan O'Sullivan . This package contains the documentation files.