Ubuntu
sdpa package

sdpa 7.3.12+dfsg-1 source package in Ubuntu

Changelog

sdpa (7.3.12+dfsg-1) unstable; urgency=low

   * New upstream
     + Change MUMPS from 5.1.1 to 5.1.2
   * Fix debian/rules (closes: #944221)
   * Change priority from extra to optional
   * Change libopenblas-dev to libopenblas-pthread-dev

 -- Makoto Yamashita <email address hidden>  Fri, 06 Dec 2019 16:00:00 +0900

Upload details

Uploaded by:
Makoto Yamashita
Uploaded to:
Sid
Original maintainer:
Makoto Yamashita
Architectures:
any
Section:
math
Urgency:
Low Urgency

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Downloads

File Size SHA-256 Checksum
sdpa_7.3.12+dfsg-1.dsc 1.9 KiB 5599df32c7b6ea18e03d7bc1e9b6034dc37932f5ca5e42a076983afa5e38d217
sdpa_7.3.12+dfsg.orig.tar.gz 238.6 KiB c8bb7d7c6d6e265ddcc579c80472cfa2f0c0f400db83c3c9b240c98f97b7b63c
sdpa_7.3.12+dfsg-1.debian.tar.xz 4.4 KiB ccb1cbf71ec8a9952eea6145f3da2acaf436518104e3bde841eafe30fb4ee6bb

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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