[Pkg-scicomp-devel] Fwd: Bug#490907: Acknowledgement (ITP: openturns -- Open source initiative to Treat Uncertainties, Risks?N Statistics)

[Christophe Prud'homme]

All,

I filled out an ITP for openturns[1]. Some days ago I imported a first
version of the package which still need a lot of work but should do
the job.

Best regards
C.

[1]
Severity: wishlist
X-Debbugs-CC: debian-devel at lists.debian.org

--- Please fill out the fields below. ---

   Package name: openturns
        Version: 0.12.0
Upstream Author:
  - Électricité de France (EDF), the main electricity generation and
   distribution company in France;
  - European Aeronautic Defence and Space company (EADS), a large European
    aerospace corporation,
  - Phimeca, an Engineering Consultancy company specialised in Structural
    Reliability analysis.
URL: http://trac.openturns.org/
License: LGPL
Description:

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.


---------- Forwarded message ----------
From: Debian Bug Tracking System <owner at bugs.debian.org>
Date: Tue, Jul 15, 2008 at 10:09 AM
Subject: Bug#490907: Acknowledgement (ITP: openturns -- Open source
initiative to Treat Uncertainties, Risks?N Statistics)
To: Christophe Prud'homme <prudhomm at debian.org>



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