Package: wnpp The current maintainer of dsdp, Soeren Sonnenburg <sonne@debian.org>, is apparently not active anymore. Therefore, I orphan this package now. Maintaining a package requires time and skills. Please only adopt this package if you will have enough time and attention to work on it. If you want to be the new maintainer, please see https://www.debian.org/devel/wnpp/#howto-o for detailed instructions how to adopt a package properly. Some information about this package: Package: dsdp Binary: dsdp, dsdp-doc, libdsdp-dev, libdsdp-5.8gf Version: 5.8-9.4 Maintainer: Soeren Sonnenburg <sonne@debian.org> Build-Depends: cdbs, debhelper (>= 5), gfortran, libblas-dev, liblapack-dev, doxygen, doxygen-latex Architecture: any all Standards-Version: 3.9.2 Format: 3.0 (quilt) Files: 68ee01fd330088e514e0ba6fddda118b 2027 dsdp_5.8-9.4.dsc 7f49a35f3fe7b5802d29ee2435fdb67e 368682 dsdp_5.8.orig.tar.gz 4a9722a851ba4a873623205e706f3a59 7016 dsdp_5.8-9.4.debian.tar.xz Vcs-Browser: http://bollin.googlecode.com/svn/dsdp/trunk/ Vcs-Svn: https://bollin.googlecode.com/svn/dsdp/trunk/ Checksums-Sha256: 88b16ab8bdbbd6673eed1d62c147be629f07385227682f95950683d3162a1728 2027 dsdp_5.8-9.4.dsc de82af5e2daec70c8bf653ea4872108850bebea25238a799e78289ff88f88e06 368682 dsdp_5.8.orig.tar.gz 9755a5f11d5f90c9aa668aeffb2c00d7bdf2575f440777bd9be8837cf8c64c05 7016 dsdp_5.8-9.4.debian.tar.xz Homepage: http://www-unix.mcs.anl.gov/DSDP/ Package-List: dsdp deb science extra arch=any dsdp-doc deb doc extra arch=all libdsdp-5.8gf deb libs extra arch=any libdsdp-dev deb libdevel extra arch=any Directory: pool/main/d/dsdp Priority: source Section: science Package: dsdp Version: 5.8-9.4 Installed-Size: 90 Maintainer: Soeren Sonnenburg <sonne@debian.org> Architecture: amd64 Depends: libc6 (>= 2.7), libdsdp-5.8gf Description-en: Software for Semidefinite Programming The DSDP software is a free open source implementation of an interior-point method for semidefinite programming. It provides primal and dual solutions, exploits low-rank structure and sparsity in the data, and has relatively low memory requirements for an interior-point method. It allows feasible and infeasible starting points and provides approximate certificates of infeasibility when no feasible solution exists. The dual-scaling algorithm implemented in this package has a convergence proof and worst-case polynomial complexity under mild assumptions on the data. Furthermore, the solver offers scalable parallel performance for large problems and a well documented interface. Some of the most popular applications of semidefinite programming and linear matrix inequalities (LMI) are model control, truss topology design, and semidefinite relaxations of combinatorial and global optimization problems. . This package contains the binaries. Description-md5: f23b1ccc0454351abde108cef0799570 Homepage: http://www-unix.mcs.anl.gov/DSDP/ Tag: devel::library, field::mathematics, implemented-in::c++, role::program, role::shared-lib, scope::utility Section: science Priority: optional Filename: pool/main/d/dsdp/dsdp_5.8-9.4_amd64.deb Size: 28504 MD5sum: a0055aecfa6a39a0dffaa1e8f0f53a2f SHA256: e824e79258c66be892432ed81ac4ba252b75965b6358692923334712ee653e9d Package: dsdp-doc Source: dsdp Version: 5.8-9.4 Installed-Size: 7995 Maintainer: Soeren Sonnenburg <sonne@debian.org> Architecture: all Recommends: dsdp Description-en: Software for Semidefinite Programming The DSDP software is a free open source implementation of an interior-point method for semidefinite programming. It provides primal and dual solutions, exploits low-rank structure and sparsity in the data, and has relatively low memory requirements for an interior-point method. It allows feasible and infeasible starting points and provides approximate certificates of infeasibility when no feasible solution exists. The dual-scaling algorithm implemented in this package has a convergence proof and worst-case polynomial complexity under mild assumptions on the data. Furthermore, the solver offers scalable parallel performance for large problems and a well documented interface. Some of the most popular applications of semidefinite programming and linear matrix inequalities (LMI) are model control, truss topology design, and semidefinite relaxations of combinatorial and global optimization problems. . This package contains the documentation and examples. Description-md5: 26082894d8d34e85cfb5511f23cc16cd Homepage: http://www-unix.mcs.anl.gov/DSDP/ Tag: devel::doc, devel::examples, made-of::html, role::documentation Section: doc Priority: optional Filename: pool/main/d/dsdp/dsdp-doc_5.8-9.4_all.deb Size: 535966 MD5sum: d4503a5d3c0d0b1b47696d61b5d71af0 SHA256: 9c39c7afd0063982f9ffd268e087dda2c185c374eb34e135fe1420361e956e58 Package: libdsdp-dev Source: dsdp Version: 5.8-9.4 Installed-Size: 975 Maintainer: Soeren Sonnenburg <sonne@debian.org> Architecture: amd64 Depends: libdsdp-5.8gf (= 5.8-9.4) Description-en: Software for Semidefinite Programming The DSDP software is a free open source implementation of an interior-point method for semidefinite programming. It provides primal and dual solutions, exploits low-rank structure and sparsity in the data, and has relatively low memory requirements for an interior-point method. It allows feasible and infeasible starting points and provides approximate certificates of infeasibility when no feasible solution exists. The dual-scaling algorithm implemented in this package has a convergence proof and worst-case polynomial complexity under mild assumptions on the data. Furthermore, the solver offers scalable parallel performance for large problems and a well documented interface. Some of the most popular applications of semidefinite programming and linear matrix inequalities (LMI) are model control, truss topology design, and semidefinite relaxations of combinatorial and global optimization problems. . This package contains the header files for developers. Description-md5: c4ae5d8646ec667afe57aff2c90533ff Homepage: http://www-unix.mcs.anl.gov/DSDP/ Tag: devel::library, role::devel-lib Section: libdevel Priority: optional Filename: pool/main/d/dsdp/libdsdp-dev_5.8-9.4_amd64.deb Size: 211990 MD5sum: 61f48d6a8c185bc9d105ee2758457965 SHA256: d2b51882b1f7f0df9ca15f3b4ca1612ce0da0c136abff3f602f28f9c32375045 Package: libdsdp-5.8gf Source: dsdp Version: 5.8-9.4 Installed-Size: 510 Maintainer: Soeren Sonnenburg <sonne@debian.org> Architecture: amd64 Depends: libblas3 | libblas.so.3, libc6 (>= 2.14), liblapack3 | liblapack.so.3 Description-en: Software for Semidefinite Programming The DSDP software is a free open source implementation of an interior-point method for semidefinite programming. It provides primal and dual solutions, exploits low-rank structure and sparsity in the data, and has relatively low memory requirements for an interior-point method. It allows feasible and infeasible starting points and provides approximate certificates of infeasibility when no feasible solution exists. The dual-scaling algorithm implemented in this package has a convergence proof and worst-case polynomial complexity under mild assumptions on the data. Furthermore, the solver offers scalable parallel performance for large problems and a well documented interface. Some of the most popular applications of semidefinite programming and linear matrix inequalities (LMI) are model control, truss topology design, and semidefinite relaxations of combinatorial and global optimization problems. . This package contains the library files. Description-md5: 0747ea6e16d480b70ce0d68d68364dd2 Homepage: http://www-unix.mcs.anl.gov/DSDP/ Tag: role::shared-lib Section: libs Priority: optional Filename: pool/main/d/dsdp/libdsdp-5.8gf_5.8-9.4_amd64.deb Size: 188674 MD5sum: 792ea64f3f3082141e913a69c25ebd81 SHA256: 836075d481463e22697e68669045508c643e4c72b756fc13e7e201612c36a0d9
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