Ubuntu
sdpa package

sdpa 7.3.10+dfsg-2build1 source package in Ubuntu

Changelog

sdpa (7.3.10+dfsg-2build1) bionic; urgency=medium

  * No-change rebuild against libscotch-6.0

 -- Steve Langasek <email address hidden>  Wed, 29 Nov 2017 16:58:39 +0000

Upload details

Uploaded by:
Steve Langasek
Uploaded to:
Bionic
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
math
Urgency:
Medium Urgency

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Downloads

File Size SHA-256 Checksum
sdpa_7.3.10+dfsg.orig.tar.gz 232.3 KiB cc916ba3d9350c23597f42d9e34f07a541ab344df3b88c7c520fc1ed81a2ca39
sdpa_7.3.10+dfsg-2build1.debian.tar.xz 4.4 KiB 455a77e5d3cfc48cac6911cbca0c29c8999581c66bd4ec31c2667eff2bbe9ed6
sdpa_7.3.10+dfsg-2build1.dsc 2.0 KiB d2d2b8819299850dba7287c7875e6e7c8cd0592cbfbd857a62c7d1a56de7e767

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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/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