dsdp 5.8-9.4build1 source package in Ubuntu

Changelog

dsdp (5.8-9.4build1) cosmic; urgency=medium

  * No-change rebuild for libgfortran soname change.

 -- Matthias Klose <email address hidden>  Tue, 17 Jul 2018 12:20:00 +0000

Upload details

Uploaded by:
Matthias Klose on 2018-07-17
Uploaded to:
Cosmic
Original maintainer:
Soeren Sonnenburg
Architectures:
any all
Section:
science
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release on 2019-10-18 universe science
Eoan release on 2019-04-18 universe science
Disco release on 2018-10-30 universe science
Cosmic release on 2018-07-17 universe science

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File Size SHA-256 Checksum
dsdp_5.8.orig.tar.gz 360.0 KiB de82af5e2daec70c8bf653ea4872108850bebea25238a799e78289ff88f88e06
dsdp_5.8-9.4build1.debian.tar.xz 6.9 KiB 0beadd761d72f832b7ea83be8cdab52a6ddb5a118c609847956ed0bfbde754dd
dsdp_5.8-9.4build1.dsc 2.0 KiB b36e8ec0cbc08e77b836e815749ba79791cfa853481034068c13e82c5b985edf

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Binary packages built by this source

dsdp: 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.

dsdp-dbgsym: debug symbols for dsdp
dsdp-doc: 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.

libdsdp-5.8gf: 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.

libdsdp-5.8gf-dbgsym: debug symbols for libdsdp-5.8gf
libdsdp-dev: 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.