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Source: tasmanian
Maintainer: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Sébastien Villemot <sebastien@debian.org>
Section: math
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-sequence-fortran-mod,
dh-sequence-python3,
cmake,
libblas-dev,
liblapack-dev,
python3-numpy
Standards-Version: 4.7.2
Vcs-Browser: https://salsa.debian.org/science-team/tasmanian
Vcs-Git: https://salsa.debian.org/science-team/tasmanian.git
Homepage: https://github.com/ORNL/TASMANIAN
Package: tasgrid
Architecture: any
Depends: ${misc:Depends},
${shlibs:Depends}
Description: command-line interface to the Tasmanian sparse grids library
The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
(Tasmanian) is a collection of robust libraries for high dimensional
integration and interpolation as well as parameter calibration.
.
This package contains an executable that provides a command-line interface to
the Tasmanian Sparse Grids module. It provides the ability to create and
manipulate sparse grids, save and load them into files and optionally
interface with another program via text files.
Package: libtasmaniansparsegrid8
Architecture: any
Section: libs
Depends: ${misc:Depends},
${shlibs:Depends}
Description: Tasmanian module for sparse grids
The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
(Tasmanian) is a collection of robust libraries for high dimensional
integration and interpolation as well as parameter calibration.
.
This package provides a shared library that implements a variety of sparse
grids, i.e. a family of algorithms for constructing multidimensional
quadrature and interpolation rules using multiple tensor products of one
dimensional rules with varying degree of precision.
.
The Tasmanian Sparse Grids Module implements a variety of grids that fall into
five major categories: global grids, sequence grids, local polynomial grids,
wavelet grids and fourier grids.
Package: libtasmaniandream8
Architecture: any
Section: libs
Depends: ${misc:Depends},
${shlibs:Depends}
Description: Tasmanian module for drawing samples from an arbitrary probability distribution
The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
(Tasmanian) is a collection of robust libraries for high dimensional
integration and interpolation as well as parameter calibration.
.
This package provides a shared library that implements the DiffeRential
Evolution Adaptive Metropolis (DREAM), which is a method to draw samples from
an arbitrary probability distribution defined by an arbitrary non-negative
function. The DREAM approach is similar to the classical Markov Chain Monte
Carlo, but it evolves a large number of chains simultaneously which leads to
better parallelization and (potentially) faster convergence. In addition,
multiple chains allow for better exploration of the probability domain, which
is often advantageous when working with multi-modal distributions.
.
One of the main applications of DREAM is in the field of Bayesian inference,
where samples are drawn from a posterior distribution comprised from a
data-informed likelihood and an arbitrary model. The DREAM module of Tasmanian
can use Tasmanian Sparse Grids approximation to either the model or the
likelihood.
Package: libtasmanianfortran8
Architecture: any
Section: libs
Depends: ${misc:Depends},
${shlibs:Depends}
Description: Tasmanian sparse grids wrappers for Fortran 2003
The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
(Tasmanian) is a collection of robust libraries for high dimensional
integration and interpolation as well as parameter calibration.
.
This package provides a SWIG wrapper around the Tasmanian C++ module for
sparse grids, making it easy to call it from Fortran 2003.
Package: libtasmaniancaddons8
Architecture: any
Section: libs
Depends: ${misc:Depends},
${shlibs:Depends}
Description: Tasmanian add-ons module
The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
(Tasmanian) is a collection of robust libraries for high dimensional
integration and interpolation as well as parameter calibration.
.
This package contains a shared library that provides various additional
functionalities not included in the core Tasmanian modules.
Package: libtasmanian-dev
Architecture: any
Section: libdevel
Depends: ${misc:Depends},
${fortran:Depends},
libtasmaniansparsegrid8 (= ${binary:Version}),
libtasmaniandream8 (= ${binary:Version}),
libtasmanianfortran8 (= ${binary:Version}),
libtasmaniancaddons8 (= ${binary:Version})
Description: Tasmanian development files
The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
(Tasmanian) is a collection of robust libraries for high dimensional
integration and interpolation as well as parameter calibration.
.
This package provides all the necessary development files to use the Tasmanian
modules either from C++, C or Fortran 2003.
Package: octave-tasmanian
Architecture: all
Depends: ${misc:Depends},
tasgrid
Recommends: octave
Description: Octave interface to the Tasmanian sparse grids module
The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
(Tasmanian) is a collection of robust libraries for high dimensional
integration and interpolation as well as parameter calibration.
.
This package provides a GNU Octave interface to the Tasmanian sparse grids
module. This interface can also be used from MATLAB.
Package: python3-tasmanian
Architecture: all
Section: python
Depends: ${misc:Depends},
${python3:Depends},
python3-numpy,
libtasmanian-dev
Description: Python interface to the Tasmanian sparse grids and DREAM modules
The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
(Tasmanian) is a collection of robust libraries for high dimensional
integration and interpolation as well as parameter calibration.
.
This package provides a Python interface to the Tasmanian sparse grids and
DREAM modules.
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