Source: openturns
Section: science
Priority: extra
Maintainer: Debian Science Maintainers
Uploaders: Christophe Prud'homme , Denis Barbier
Build-Depends: debhelper (>= 8), quilt, gfortran, bison, flex, cmake, bc,
libmuparser-dev, libxml2-dev, liblapack-dev, libblas-dev,
libboost-math-dev,
libtbb-dev [i386 amd64 ia64],
r-base-core, python-dev, swig
Standards-Version: 3.9.5
Homepage: http://www.openturns.org/
Vcs-Browser: http://anonscm.debian.org/gitweb/?p=debian-science/packages/openturns.git
Vcs-Git: git://anonscm.debian.org/debian-science/packages/openturns.git
X-Python-Version: current
Package: libopenturns0.4
Section: libs
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}
Suggests: python-openturns, r-base-core, ghostscript, r-other-rot (= ${binary:Version})
Replaces: openturns-wrapper
Breaks: openturns-wrapper
Description: dynamic libraries for OpenTURNS
OpenTURNS is a powerful and generic tool to treat and quantify
uncertainties in numerical simulations in design, optimization and
control. It allows both sensitivity and reliability analysis studies:
* define the outputs of interest and decision criteria;
* quantify and model the source of uncertainties;
* propagate uncertainties and/or analyse sensitivity
* rank the sources of uncertainty
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package provides the dynamic libraries.
.
The library implements almost all the treatments of uncertainty that
OpenTURNS can provide. It is designed to be linked against any user
specific application, or with either the textual front-end (see
python-openturns package).
.
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.
Package: libopenturns-dev
Section: libdevel
Architecture: any
Depends: ${misc:Depends}, libopenturns0.4 (= ${binary:Version}),
libmuparser-dev, libxml2-dev, liblapack-dev, libblas-dev, libtbb-dev [i386 amd64 ia64]
Replaces: openturns-wrapper
Breaks: openturns-wrapper
Description: headers and development libraries for OpenTURNS
OpenTURNS is a powerful and generic tool to treat and quantify
uncertainties in numerical simulations in design, optimization and
control. It allows both sensitivity and reliability analysis studies:
* defining the outputs of interest and decision criterion;
* quantify and model the source of uncertainties;
* propagate uncertainties and/or analyse sensitivity and
* rank the sources of uncertainty
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package provides the OpenTURNS headers should be used if one
wants to link its application against the library.
Package: libopenturns-dbg
Section: debug
Architecture: any
Depends: ${misc:Depends}, libopenturns-dev
Description: debug symbols for OpenTURNS
OpenTURNS is a powerful and generic tool to treat and quantify
uncertainties in numerical simulations in design, optimization and
control. It allows both sensitivity and reliability analysis studies:
* defining the outputs of interest and decision criterion;
* quantify and model the source of uncertainties;
* propagate uncertainties and/or analyse sensitivity and
* rank the sources of uncertainty
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package provides the debug symbols of the OpenTurns libraries to
help with debugging either your applications or OpenTURNS
Package: python-openturns
Section: python
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}, libopenturns0.4 (= ${binary:Version}), ${python:Depends}
Provides: ${python:Provides}
Suggests: python-matplotlib, python-scipy
Description: Python front-end of OpenTURNS (aka TUI)
OpenTURNS is a powerful and generic tool to treat and quantify
uncertainties in numerical simulations in design, optimization and
control. It allows both sensitivity and reliability analysis studies:
* defining the outputs of interest and decision criterion;
* quantify and model the source of uncertainties;
* propagate uncertainties and/or analyse sensitivity and
* rank the sources of uncertainty
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package provides a textual user interface that gives access to
all the functionalities provided by the OpenTURNS library.
Package: python-openturns-dev
Section: python
Architecture: any
Depends: ${misc:Depends}, libopenturns-dev, python-openturns (= ${binary:Version}), python-dev
Replaces: libopenturns-dev
Breaks: libopenturns-dev (<< 1.0)
Description: Python front-end of OpenTURNS (aka TUI)
OpenTURNS is a powerful and generic tool to treat and quantify
uncertainties in numerical simulations in design, optimization and
control. It allows both sensitivity and reliability analysis studies:
* defining the outputs of interest and decision criterion;
* quantify and model the source of uncertainties;
* propagate uncertainties and/or analyse sensitivity and
* rank the sources of uncertainty
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package provides development files for python modules.
Package: r-other-rot
Section: gnu-r
Architecture: any
Depends: ${misc:Depends}, r-base-core
Replaces: python-openturns
Breaks: python-openturns (<< 1.0)
Description: GNU R package of few tools needed by OpenTURNS
OpenTURNS is a powerful and generic tool to treat and quantify
uncertainties in numerical simulations in design, optimization and
control. It allows both sensitivity and reliability analysis studies:
* defining the outputs of interest and decision criterion;
* quantify and model the source of uncertainties;
* propagate uncertainties and/or analyse sensitivity and
* rank the sources of uncertainty
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package provides R files needed by some OpenTURNS objects.
Package: openturns-examples
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}, python, python-openturns (= ${binary:Version}), libopenturns-dev
Replaces: openturns-wrapper
Breaks: openturns-wrapper
Description: examples of OpenTURNS functionalities
OpenTURNS is a powerful and generic tool to treat and quantify
uncertainties in numerical simulations in design, optimization and
control. It allows both sensitivity and reliability analysis studies:
* defining the outputs of interest and decision criterion;
* quantify and model the source of uncertainties;
* propagate uncertainties and/or analyse sensitivity and
* rank the sources of uncertainty
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package provides examples which are written either in C++ or in
Python.
.
They are primarly used as validation tests for the whole
platform but they can also be seen as tutorials for
beginners.
Package: openturns-validation
Section: science
Architecture: all
Depends: ${misc:Depends}
Description: validation files for OpenTURNS
OpenTURNS is a powerful and generic tool to treat and quantify
uncertainties in numerical simulations in design, optimization and
control. It allows both sensitivity and reliability analysis studies:
* defining the outputs of interest and decision criterion;
* quantify and model the source of uncertainties;
* propagate uncertainties and/or analyse sensitivity and
* rank the sources of uncertainty
.
OpenTURNS is a large project with more than 300 C++ classes which
uses well known and supported software such as R for the statistical
methods and BLAS/LAPACK for the linear algebra.
.
This package includes many maple input files that validates the
results and the algorithms of OpenTURNS in a mathematical sense.