Ubuntu
sdpa package

sdpa 7.3.16+dfsg-1build1 source package in Ubuntu

Changelog

sdpa (7.3.16+dfsg-1build1) lunar; urgency=medium

  * No-change rebuild with libmumps-5.5

 -- Graham Inggs <email address hidden>  Mon, 14 Nov 2022 20:36:58 +0000

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Lunar release universe math

Downloads

File Size SHA-256 Checksum
sdpa_7.3.16+dfsg.orig.tar.gz 297.6 KiB 968204da6e1860976eb1bc7d17117b6c796bd3039aab4f2d9df9b989add5b08e
sdpa_7.3.16+dfsg-1build1.debian.tar.xz 4.9 KiB e0137b1770065eb0b7d0f873842d8e8c02e95e6e0856bc83e35fa386cfb5bea1
sdpa_7.3.16+dfsg-1build1.dsc 1.9 KiB 2e55594db48cbd2236c9cdca2ea6ea746fccb74a528cbb53051e183593060d48

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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