Package: agrum Version: 1.17.0-0.1 Architecture: amd64 Maintainer: Debian Science Maintainers Installed-Size: 28796 Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 11), python3 (<< 3.11), python3 (>= 3.10~), python3-matplotlib, python3-numpy, python3-pydot, python3:any, python3-six, python3-pandas Filename: amd64/agrum_1.17.0-0.1_amd64.deb Size: 5440902 MD5sum: a6b0f5a18f48778d01e3ddf7a5f20d6a SHA1: 97665dbf353dc67ded05248af85734f1420598a4 SHA256: 5d262e334894af5d097821d36e2ba69f0e7faa56004fb242946c2d7607e878ff Section: libs Priority: optional Homepage: http://agrum.gitlab.io/ Description: A GRaphical Universal Modeler aGrUM is a C++ library designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes. Package: libcuba-dev Source: cuba Version: 4.2.2-1 Architecture: amd64 Maintainer: Debian QA Group Installed-Size: 17 Depends: libcuba0 (= 4.2.2-1) Filename: amd64/libcuba-dev_4.2.2-1_amd64.deb Size: 2470 MD5sum: 63f6bfbe73d564f242a80c5fdfad01fc SHA1: 9475f65e3bb701a25595d030d5812372ed2f6629 SHA256: 9857190780eaab40287f92e6149e33d73eb719b69456279aa49c241d1d758f9a Section: libdevel Priority: optional Multi-Arch: same Homepage: https://feynarts.de/cuba/ Description: A library for multidimensional numerical integration (developer files) This package contains the header files for developers. Package: libcuba0 Source: cuba Version: 4.2.2-1 Architecture: amd64 Maintainer: Debian QA Group Installed-Size: 199 Depends: libc6 (>= 2.33) Filename: amd64/libcuba0_4.2.2-1_amd64.deb Size: 83904 MD5sum: da37ea129b064892d18de1353002e687 SHA1: 880077501cc8739678bcf5518771d581b4d17422 SHA256: 8577f5d2d13cce83dcda0e0ac65e17c12d5a401965554fbcac05d3ae666bd97c Section: science Priority: optional Multi-Arch: same Homepage: https://feynarts.de/cuba/ Description: A library for multidimensional numerical integration This package contains the binaries and libraries. Package: libmixmod Source: mixmod Version: 2.1.11-1 Architecture: amd64 Maintainer: Debian Science Maintainers Installed-Size: 1198 Depends: libc6 (>= 2.32), libgcc-s1 (>= 3.3.1), libgomp1 (>= 4.9), libstdc++6 (>= 11) Filename: amd64/libmixmod_2.1.11-1_amd64.deb Size: 366022 MD5sum: b736509c9b03b31f41ec1a3ab598ff90 SHA1: 7fae0a577898ff34a320617d6479ddf2dc87a5f7 SHA256: c75bc2bc1bb86c7a6ef90c2219d03b66b8e3d2503fedd5dcef0e4d09e1014576 Section: libs Priority: optional Homepage: https://github.com/mixmod/mixmod Description: hierarchical matrix C/C++ library (shared library) This library allows one to compute hierarchical matrices, which are tools from numerical mathematics used to approximate non-sparse matrices. . The implementation uses lower-upper (LU) decompositions. . This package contains the shared library. Package: libmixmod-dev Source: mixmod Version: 2.1.11-1 Architecture: amd64 Maintainer: Debian Science Maintainers Installed-Size: 438 Depends: libmixmod (= 2.1.11-1), libeigen3-dev Filename: amd64/libmixmod-dev_2.1.11-1_amd64.deb Size: 44356 MD5sum: 9c8eeb2e6731d1cba3cd0ead6ed3fb2d SHA1: d6f9af84a45a8fb008f92ab539eca8c0e891ce19 SHA256: 1e9b2908a3b93868bb8f6b13871c8f67ae0a431b44b87f32ea0dee758a5c5ae7 Section: libdevel Priority: optional Homepage: https://github.com/mixmod/mixmod Description: hierarchical matrix C/C++ library (development files) This library allows one to compute hierarchical matrices, which are tools from numerical mathematics used to approximate non-sparse matrices. . The implementation uses lower-upper (LU) decompositions. . This package contains the development files. Package: libopenturns-dev Source: openturns Version: 1.24-1 Architecture: amd64 Maintainer: Debian Science Maintainers Installed-Size: 7972 Depends: libceres-dev, libopenturns0.25 (= 1.24-1) Filename: amd64/libopenturns-dev_1.24-1_amd64.deb Size: 734432 MD5sum: 2b0e338621255e73663fa81be9b7a757 SHA1: f9aef69a4d1e8dc0554c36a2b7766338a4dec940 SHA256: 6171631082d378de777d7b25430d6ea7a4c7e9337fbd564f2c4fadf041dd68b8 Section: libdevel Priority: optional Homepage: https://openturns.github.io/www/ 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 . Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies. . This package contains development files needed to build OpenTURNS applications. Package: libopenturns0.25 Source: openturns Version: 1.24-1 Architecture: amd64 Maintainer: Debian Science Maintainers Installed-Size: 30473 Depends: coinor-libipopt1v5, libblas3 | libblas.so.3, libc6 (>= 2.35), libceres2 (>= 2.0.0+dfsg1), libcminpack1 (>= 1.1.3), libcuba0 (>= 4.2.2), libdlib19, libgcc-s1 (>= 4.0), libgomp1 (>= 4.9), libgoogle-glog0v5 (>= 0.5.0+really0.4.0), libhdf5-103-1, libhdf5-cpp-103-1 (>= 1.10.5), liblapack3 | liblapack.so.3, libmpc3 (>= 1.1.0), libmpfr6 (>= 3.1.3), libmuparser2v5 (>= 2.2.6.1+dfsg), libnlopt0 (>= 2.7.0), libpagmo9 (>= 2.19.1), libprimesieve9 (>= 7.8+ds), libstdc++6 (>= 11), libtbb12 (>= 2021.4.0), libunwind8, libxml2 (>= 2.7.4), openturns-common Suggests: python3-openturns Filename: amd64/libopenturns0.25_1.24-1_amd64.deb Size: 7471160 MD5sum: 005f4d98822d3ff590077bf7c51c58bc SHA1: 7c87f6c0b793b7eeca2d115019a32f133d9c8b5e SHA256: 4d331ba19b87161dc72e26d47486bf73622f134df89f2e74b94f6718af27eb6a Section: libs Priority: optional Homepage: https://openturns.github.io/www/ 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 . Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies. . This package provides the dynamic libraries. Package: libpagmo-dev Source: pagmo Version: 2.19.1-1 Architecture: amd64 Maintainer: Debian Science Maintainers Installed-Size: 866 Depends: libpagmo9 (= 2.19.1-1), libeigen3-dev, libboost-serialization-dev, libtbb-dev Filename: amd64/libpagmo-dev_2.19.1-1_amd64.deb Size: 107670 MD5sum: 09b8f781847686c52517b8d203afec4f SHA1: 7c9ba2a4f0158bd6bd0bd76f108d563075067bd6 SHA256: ef4fe65e378b27b1fbcae9a414b1a657dcbdfb3d1b3def78c56190ce7ba9301c Section: libdevel Priority: optional Homepage: https://github.com/esa/pagmo2 Description: library for massively parallel optimisation (development files) pagmo is a C++ scientific library built around the idea of providing an unified interface to optimization algorithms and to optimization problems and to make their deployment in massively parallel environments easy. . This package contains the headers and the static library. Package: libpagmo9 Source: pagmo Version: 2.19.1-1 Architecture: amd64 Maintainer: Debian Science Maintainers Installed-Size: 18385 Depends: libboost-serialization1.74.0 (>= 1.74.0), libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 12), libtbb12 (>= 2021.4.0) Filename: amd64/libpagmo9_2.19.1-1_amd64.deb Size: 4119254 MD5sum: 2868e8d67fcd2cad73a642a79df6db63 SHA1: 7a72d994e923a79aafef10d870209ece9a648981 SHA256: 94a964705a887358d6b8cec3df01176ff345cf16bf8aac47f7819f1f2f71ab62 Section: libs Priority: optional Multi-Arch: same Homepage: https://github.com/esa/pagmo2 Description: library for massively parallel optimisation (shared library) pagmo is a C++ scientific library built around the idea of providing an unified interface to optimization algorithms and to optimization problems and to make their deployment in massively parallel environments easy. . This package contains the shared library. Package: libspectra-dev Source: spectra Version: 1.0.1-1 Architecture: all Maintainer: Debian Science Maintainers Installed-Size: 396 Depends: libeigen3-dev Filename: all/libspectra-dev_1.0.1-1_all.deb Size: 55824 MD5sum: 23c7908749bc1980c3ca9d26e24308f6 SHA1: 8bc1410ec1290213a5693a4cd5225f18d0a3aa07 SHA256: 51ce081dd1a08f575b7cf5de0a957b914f077db021b423f9e892a37f977cb436 Section: libdevel Priority: optional Homepage: https://spectralib.org/ Description: headers and development libraries for Spectra C++ Library For Large Scale Eigenvalue Problems. Package: openturns-common Source: openturns Version: 1.24-1 Architecture: all Maintainer: Debian Science Maintainers Installed-Size: 83 Filename: all/openturns-common_1.24-1_all.deb Size: 23840 MD5sum: d38f995d07534aa0319cdd4400e7b750 SHA1: 3a95588392bf06224ad341eb03919d9ea42af4a3 SHA256: 5675d01e3a9df98aa74366f24935069170776258ce0449249fe83d6da600e5d0 Section: science Priority: optional Homepage: https://openturns.github.io/www/ Description: generic tool to treat and quantify uncertainties (common files) 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 . Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies. . This package contains the configuration file for the versioned library package. Package: otagrum Version: 0.11-0.1 Architecture: amd64 Maintainer: Debian Science Maintainers Installed-Size: 2289 Depends: agrum (>= 1.17.0), libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libopenturns0.25 (>= 1.24), libstdc++6 (>= 11), python3-openturns Filename: amd64/otagrum_0.11-0.1_amd64.deb Size: 532524 MD5sum: ba239c9dd502bf251ba4719e5085cb35 SHA1: 39ef4f76ec2cecf7b72f74ae2f59c0ae9e7a3bcb SHA256: 703829dde408f69e69321014c90794d10b2d5b7efeb6243b4a423528b0727862 Section: libs Priority: optional Homepage: http://www.openturns.org/ Description: openturns module otagrum aGrUM-based module for OpenTURNS It provides conversions from/to OT distributions Package: otfftw Version: 0.16-0.1 Architecture: amd64 Maintainer: Debian Science Maintainers Installed-Size: 589 Depends: libc6 (>= 2.32), libfftw3-double3 (>= 3.3.5), libgcc-s1 (>= 3.3.1), libopenturns0.25 (>= 1.24), libstdc++6 (>= 11), python3-openturns Filename: amd64/otfftw_0.16-0.1_amd64.deb Size: 90228 MD5sum: 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distributions Package: otmorris Version: 0.17-0.1 Architecture: amd64 Maintainer: Debian Science Maintainers Installed-Size: 923 Depends: libc6 (>= 2.32), libgcc-s1 (>= 3.3.1), libopenturns0.25 (>= 1.24), libstdc++6 (>= 11), python3-openturns Filename: amd64/otmorris_0.17-0.1_amd64.deb Size: 172824 MD5sum: 25382b0ea60e1c3c59461c7a879b643c SHA1: 0644d33b6e9103fe347c5afb0030f6ba75dd12a0 SHA256: 1a624516cb0e4faf3424554976031da1eb3ef954ed2df6e374f0408cb354b51c Section: libs Priority: optional Homepage: http://www.openturns.org/ Description: openturns module otmorris Template module for OpenTURNS It provides useful features Package: otrobopt Version: 0.15-0.1 Architecture: amd64 Maintainer: Debian Science Maintainers Installed-Size: 2244 Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libopenturns0.25 (>= 1.24), libstdc++6 (>= 11), python3-openturns Filename: amd64/otrobopt_0.15-0.1_amd64.deb Size: 464874 MD5sum: 3f851274ed85f0748adc0ec349da5152 SHA1: e4a88e10190909c01afac024b0c5a1117afd4b82 SHA256: d604c529f4fed2622aebfbe3c4398c190c986bed7a0b6ff49230d77d694d3ba7 Section: libs Priority: extra Homepage: http://www.openturns.org/ Description: openturns module otrobopt Robust optimization module for OpenTURNS Package: otsubsetinverse Version: 1.10-0.1 Architecture: amd64 Maintainer: Debian Science Maintainers Installed-Size: 924 Depends: libc6 (>= 2.32), libgcc-s1 (>= 3.3.1), libopenturns0.23 (>= 1.22~rc1), libstdc++6 (>= 11), python3-openturns Filename: amd64/otsubsetinverse_1.10-0.1_amd64.deb Size: 175644 MD5sum: 685e55c3a1e422dba088a0eba6bedf73 SHA1: eadff106673c50a204770979d173296f691ea25c SHA256: fc565dd08d3659124a9a5f09d3d0509f684ab76459fce0c5aa72f530b4103940 Section: libs Priority: optional Homepage: http://www.openturns.org/ Description: openturns module otsubsetinverse Template module for OpenTURNS It provides useful features Package: otsvm Version: 0.15-0.1 Architecture: amd64 Maintainer: Debian Science Maintainers Installed-Size: 1624 Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libopenturns0.25 (>= 1.24), libstdc++6 (>= 11), python3-openturns Filename: amd64/otsvm_0.15-0.1_amd64.deb Size: 343688 MD5sum: f19664b37214162251a496de61527981 SHA1: e98652498110edba5a56b2c880f34c7d8e2c3a5d SHA256: d5795966f75eefdb57b9d27254a878aafb073539a797565304801fd65d04ffe2 Section: libs Priority: optional Homepage: http://www.openturns.org/ Description: SVM module for OpenTURNS This is a LibSVM-based module for OpenTURNS It provides classification and regression capabilities Package: python3-openturns Source: openturns Version: 1.24-1 Architecture: amd64 Maintainer: Debian Science Maintainers Installed-Size: 74369 Depends: libc6 (>= 2.32), libgcc-s1 (>= 3.0), libopenturns0.25 (= 1.24-1), libstdc++6 (>= 11), python3 (<< 3.11), python3 (>= 3.10~), python3-dill, python3-psutil, python3:any Suggests: python3-matplotlib, python3-scipy Provides: python3.10-openturns Filename: amd64/python3-openturns_1.24-1_amd64.deb Size: 11826760 MD5sum: bb3aa71a1a5730b5d9ab3dfbbf68e659 SHA1: de671e6deb128d781b4a9b9b4d03135ddde65131 SHA256: a985bc1008eeba80cf668aad9df89ed3afdbf44d9f59659cb8665d26c3e9bab2 Section: python Priority: optional Homepage: https://openturns.github.io/www/ Description: Python3 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 . Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies. . This package provides the Python3 bindings to the library.