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sdpa package

sdpa 7.3.16+dfsg-1ubuntu2 source package in Ubuntu

Changelog

sdpa (7.3.16+dfsg-1ubuntu2) noble; urgency=medium

  * No-change rebuild for CVE-2024-3094

 -- William Grant <email address hidden>  Mon, 01 Apr 2024 15:39:18 +1100

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Uploaded by:
William Grant
Uploaded to:
Noble
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
math
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe math
Noble 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-1ubuntu2.debian.tar.xz 5.2 KiB 6996c72d9710f9110a391f1c50fd5d226fc5985aa4f21ba95bcd49afa55cdafb
sdpa_7.3.16+dfsg-1ubuntu2.dsc 2.0 KiB b378bd39bd93e399733e9085abfd32ad634748251651cbdcd17f25f0766f5fd9

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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