Pakket: libghc-mwc-random-dev (0.13.6.0-3 en anderen)
Verwijzigingen voor libghc-mwc-random-dev
Debian bronnen:
Het bronpakket haskell-mwc-random downloaden:
- [haskell-mwc-random_0.13.6.0-3.dsc]
- [haskell-mwc-random_0.13.6.0.orig.tar.gz]
- [haskell-mwc-random_0.13.6.0-3.debian.tar.xz]
Beheerders:
Externe bronnen:
- Homepage [github.com]
Vergelijkbare pakketten:
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.
This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell.
Andere aan libghc-mwc-random-dev gerelateerde pakketten
|
|
|
|
-
- dep: libatomic1 (>= 4.8)
- support library providing __atomic built-in functions
-
- dep: libc6 (>= 2.14)
- GNU C Bibliotheek: Gedeelde bibliotheken
Ook een virtueel pakket geboden door: libc6-udeb
-
- dep: libghc-base-dev-4.11.1.0-5dd74
- virtueel pakket geboden door ghc
-
- dep: libghc-math-functions-dev-0.2.1.0-9a1ce
- virtueel pakket geboden door libghc-math-functions-dev
-
- dep: libghc-primitive-dev-0.6.4.0-b7b8e
- virtueel pakket geboden door libghc-primitive-dev
-
- dep: libghc-time-dev-1.8.0.2-2ae9f
- virtueel pakket geboden door ghc
-
- dep: libghc-vector-dev-0.12.0.1-4d111
- virtueel pakket geboden door libghc-vector-dev
-
- dep: libgmp10
- Multiprecision arithmetic library
-
- sug: libghc-mwc-random-doc
- Fast, high quality pseudo random number generation; documentation
-
- sug: libghc-mwc-random-prof
- Fast, high quality pseudo random number generation; profiling libraries