./wip/py-gvar, Utilities for manipulating Gaussian random variables

[ CVSweb ] [ Homepage ] [ RSS ] [ Required by ] [ Add to tracker ]

Branch: CURRENT, Version: 4.6.1, Package name: py312-gvar-4.6.1, Maintainer: jihbed.research

This package provides tools for creating and manipulating
Gaussian random variables from correlated multi-dimensional
Gaussian distributions. The Gaussian variables are represented
by objects of type :class:`gvar.GVar` which can be combined
with each other and with ordinary numbers in arbitrary
arithmetic expressions, including standard functions such
``sin`` and ``exp``, to create new :class:`gvar.GVar`\s whose
correlations with the original variables are tracked implicitly
(and handled correctly).

This package relies on ``numpy`` for efficient array arithmetic,
and on Cython to compile efficient core routines and interface code


Required to run:
[math/gsl] [math/py-numpy] [devel/py-cython] [lang/python37]

Required to build:
[pkgtools/cwrappers]

Master sites:

RMD160: 497da8ff52659f8492d49f1c1ebeab3370f6d7be
Filesize: 522.652 KB

Version history: (Expand)

CVS history: (Expand)


   2014-06-01 14:49:35 by Thomas Klausner | Files touched by this commit (208) 
Log message:
Remove FETCH_USING.
It is a user-defined variable and should NOT be set in Makefiles.
   2014-02-02 21:30:58 by Kamel Derouiche | Files touched by this commit (4) 
Log message:
Import py27-gvar-4.6.1 as wip/py-gvar.

This package provides tools for creating and manipulating
Gaussian random variables from correlated multi-dimensional
Gaussian distributions. The Gaussian variables are represented
by objects of type :class:`gvar.GVar` which can be combined
with each other and with ordinary numbers in arbitrary
arithmetic expressions, including standard functions such
``sin`` and ``exp``, to create new :class:`gvar.GVar`\s whose
correlations with the original variables are tracked implicitly
(and handled correctly).

This package relies on ``numpy`` for efficient array arithmetic,
and on Cython to compile efficient core routines and interface code