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Source: sdpa
Section: math
Priority: optional
Maintainer: Makoto Yamashita <Makoto.Yamashita@comp.isct.ac.jp>
Build-Depends: debhelper-compat (=13),
pkgconf,
automake, autoconf, gfortran,
libopenblas-pthread-dev, libmumps-seq-dev, libscotch-dev,
octave-dev | liboctave-dev
Standards-Version: 4.7.0
Rules-Requires-Root: no
Homepage: http://sdpa.sourceforge.net/
Package: sdpa
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: 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/
Package: libsdpa-dev
Architecture: any
Section: libdevel
Depends: ${misc:Depends},
libopenblas-pthread-dev, libmumps-seq-dev, libscotch-dev
Description: 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/
Package: sdpam
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends},
libopenblas-pthread-dev,
octave, libsdpa-dev
Description: 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/
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