Ubuntu
sdpa package

sdpa 7.3.16+dfsg-1 source package in Ubuntu

Changelog

sdpa (7.3.16+dfsg-1) unstable; urgency=low

  * New upstream
    + Change MUMPS from 5.3.5 to 5.5.0
  * Update copyright file
  * Change liboctave-dev to octave-dev (Closes: 1014142)
  * Remove libopenblas-dev
  * Update Standards-Version to 4.6.1

 -- Makoto Yamashita <Makoto.Yamashita@c.titech.ac.jp>  Tue, 05 Jul 2022 09:00:00 +0900

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section

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File Size SHA-256 Checksum
sdpa_7.3.16+dfsg-1.dsc 1.9 KiB 1b2ed95c501dba3cf3f15cdc4c637e2c36656bcc822d49084143133d63cb93b5
sdpa_7.3.16+dfsg.orig.tar.gz 297.6 KiB 968204da6e1860976eb1bc7d17117b6c796bd3039aab4f2d9df9b989add5b08e
sdpa_7.3.16+dfsg-1.debian.tar.xz 4.9 KiB 1652bf8987b4f9419443e9a7b075ac9f0b4d16bddddd795d2e9c2d2b57160d96

No changes file available.

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