Ubuntu
sdpa package

sdpa 7.3.15+dfsg-1build1 source package in Ubuntu

Changelog

sdpa (7.3.15+dfsg-1build1) jammy; urgency=medium

  * No-change rebuild against libmumps-5.4

 -- Graham Inggs <email address hidden>  Tue, 26 Oct 2021 11:39:43 +0000

Upload details

Uploaded by:
Graham Inggs
Uploaded to:
Jammy
Original maintainer:
Makoto Yamashita
Architectures:
any
Section:
math
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Jammy release universe math

Downloads

File Size SHA-256 Checksum
sdpa_7.3.15+dfsg.orig.tar.gz 238.9 KiB c92dd2722a400fd31515b003e786ba76a8d72fb9f41aa906c8a0d92eda03f8f3
sdpa_7.3.15+dfsg-1build1.debian.tar.xz 4.9 KiB ce0524d9ee88d524aa12fe938ded767f9c23fd35dc76b6a28a160347f872685e
sdpa_7.3.15+dfsg-1build1.dsc 1.9 KiB 1a4b42856cbafb02c738c6ad648d3db44b8ec880217a728cc6e1423a391fdb7a

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Binary packages built by this source

libsdpa-dev: Callable library and examples of SDPA

 This package provides some files [examples and callable library]
 of SDPA (SemiDefinite Programming Algorithm).
 See the information of the package 'sdpa'.
 Further information on SDP and SDPA can be found at
 http://sdpa.sourceforge.net/

sdpa: High-performance package for SemiDefinite Programs

 The software SDPA (SemiDefinite Programming Algorithm) is one of the most
 efficient and stable software packages for solving SDPs based on the
 primal-dual interior-point method.
 SDP (SemiDefinite Program) is used for financial engineering, machine
 learning, control theory, sensor network problem, quantum chemistry,
 quantum information, combinatorial optimizaiton, polynomial
 optimization, and so on.
 Further information on SDP and SDPA can be found at
 http://sdpa.sourceforge.net/

sdpa-dbgsym: debug symbols for sdpa
sdpam: Matlab/Octave interface of SDPA

 This package provides SDPA-M, Matlab/Octave interface
 of SDPA (SemiDefinite Programming Algorithm).
 See the information of the package 'sdpa'.
 To use SDPA-M on Octave, add /usr/share/sdpa/mex and /usr/lib/sdpa/mex
 to your Octave path.
 The summary of each command can be found in
 /usr/share/sdpa/mex/CommandList.txt
 The compilation by Matlab can be found at
 /usr/share/doc/sdpa/README.
 Further information on SDP and SDPA can be found at
 http://sdpa.sourceforge.net/

sdpam-dbgsym: debug symbols for sdpam