[Cdd-commits] r982 - projects/science/trunk/debian-science/tasks
CDD Subversion Commit
noreply at alioth.debian.org
Tue Jul 15 12:40:42 UTC 2008
Author: fdl-guest
Date: Tue Jul 15 12:40:42 2008
New Revision: 982
Modified:
projects/science/trunk/debian-science/tasks/engineering
Log:
OpenTURNS has now an ITP (and a more complete description) thanks to
Christophe Prud'homme.
Modified: projects/science/trunk/debian-science/tasks/engineering
==============================================================================
--- projects/science/trunk/debian-science/tasks/engineering (original)
+++ projects/science/trunk/debian-science/tasks/engineering Tue Jul 15 12:40:42 2008
@@ -51,12 +51,40 @@
Depends: openturns
Homepage: http://trac.openturns.org/
+WNPP: 490907
License: LGPL
Responsible: Christophe Prud'homme <prudhomm at debian.org>
Pkg-URL: http://svn.debian.org/wsvn/pkg-scicomp/openturns/trunk/?rev=0&sc=0
Pkg-Description: uncertainty treatment and reliability analyses
- OpenTURNS is an Open source initiative to Treat Uncertainties, Risks'N
- Statistics in a structured industrial approach.
+ OpenTURNS is an Open source initiative to Treat Uncertainties, Risks'N
+ Statistics in a structured industrial approach.
+ Since the beginning of 2005, a partnership of three companies has been working
+ on building together a tool designed to perform uncertainty treatment and
+ reliability analyses.
+ .
+ OpenTURNS is a Unix/Linux software with three main components :
+ .
+ - a scientific C++ library including an internal data model and algorithms
+ dedicated to the treatment of uncertainties. The main function of that library
+ is giving to specific applications all the functionalities needed to treat
+ uncertainties in studies. Targeted users are all engineers who want to
+ introduce the probabilistic dimension in their so far deterministic studies.
+ .
+ - an independent application with a graphical user interface. This application
+ was built to become the work environment for the specialist of the treatment
+ of uncertainties. Targeted users are once again industrial practitioners:
+ those who identify the treatment of uncertainties as a full task, which can be
+ spread to multiple engineering domains.
+ .
+ - a python module with high level operators in the probabilistic and statistical
+ field. The interest of this language is to be both a powerful scientific
+ language (capable of using C++ libraries), and a user friendly interpreted
+ language like Matlab(tm) one. This python module was designed to make the
+ development of prototypes easier (in order to test new algorithms and methods
+ for example), to become an easy-to-use support for educational works. This
+ module intends to become a natural environment capable of integrating new
+ developments within the field of uncertainty and sensitivity analysis. The
+ targeted users are here research centres and the academic community.
Depends: aster
Homepage: http://www.code-aster.org/
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