sdpa 7.3.13+dfsg-1ubuntu1 source package in Ubuntu

Changelog

sdpa (7.3.13+dfsg-1ubuntu1) focal; urgency=low

  * Merge from Debian unstable.  Remaining changes:
    - Fix rules to dynamically evaluate mumps version on binNMU
      (Closes: #953158)

sdpa (7.3.13+dfsg-1) unstable; urgency=low

   * New upstream
     + Change MUMPS from 5.1.2 to 5.2.1

 -- Gianfranco Costamagna <email address hidden>  Fri, 13 Mar 2020 13:15:25 +0100

Upload details

Uploaded by:
Gianfranco Costamagna
Uploaded to:
Focal
Original maintainer:
Makoto Yamashita
Architectures:
any
Section:
math
Urgency:
Low Urgency

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File Size SHA-256 Checksum
sdpa_7.3.13+dfsg.orig.tar.gz 238.9 KiB 57a7740f3ecc6ff3d96e06cf08fb4c79b03ad0797a3b911610d6c4e1b7cb658e
sdpa_7.3.13+dfsg-1ubuntu1.debian.tar.xz 4.6 KiB f2f7203c2782bebd3381fdae9c8b9056a9db6cce4373f85f6ec7867df51f4385
sdpa_7.3.13+dfsg-1ubuntu1.dsc 1.9 KiB b1064ed06554dd14f02e528faef545377d124cfa8f532b61c559d361325312ed

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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