Source: tasmanian Maintainer: Debian Science Team Uploaders: Sébastien Villemot 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: 4.7.1 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 Rules-Requires-Root: no 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.