Thank you very much for your consideration to refer
our papers. When you refer our papers in your papers,
please cite the following papers.
SDPA Family

"Latest developments in the SDPA Family for solving largescale SDPs,"
Makoto Yamashita, Katsuki Fujisawa, Mituhiro Fukuda, Kazuhiro Kobayashi, Kazuhide Nakta, Maho Nakata,
In Handbook on Semidefinite, Cone and Polynomial Optimization: Theory, Algorithms, Software and Applications ,
edited by Miguel F. Anjos and Jean B. Lasserre, , Springer, NY, USA, Chapter 24, pp. 687714 (2011)
SDPA

"A highperformance software package for semidefinite programs: SDPA 7,"
Makoto Yamashita, Katsuki Fujisawa, Kazuhide Nakata, Maho Nakata, Mituhiro Fukuda, Kazuhiro Kobayashi, and Kazushige Goto,
Research Report B460 Dept. of Mathematical and Computing Science, Tokyo Institute of Technology, Tokyo, Japan,
September, 2010.

"Implementation and evaluation of SDPA 6.0
(SemiDefinite Programming Algorithm 6.0),"
Makoto Yamashita, Katsuki Fujisawa, and Masakazu Kojima,
Optimization Methods and Software 18, 491505, 2003.
SDPAM

"SDPAM (SemiDefinite Programming Algorithm in MATLAB) User's manual
 version 6.2.0,"
Katsuki Fujisawa, Yoshiaki Futakata, Masakazu Kojima, Satoshi Matsuyama,
Satoshi Nakamura, Kazuhide Nakata, and Makoto Yamashita.
Research Report B359, Dept. Math. & Comp. Sciences, Tokyo Institute of Technology,
January 2000, revised May 2005.

"Latest developments in the SDPA Family for solving largescale SDPs,"
Makoto Yamashita, Katsuki Fujisawa, Mituhiro Fukuda, Kazuhiro Kobayashi, Kazuhide Nakta, Maho Nakata,
To appear in Handbook on Semidefinite, Cone and Polynomial Optimization: Theory, Algorithms, Software and Applications
edited by Miguel F. Anjos and Jean B. Lasserre
SDPAC

"Exploiting sparsity in semidefinite programming via matrix completion I:
General framework,"
Mituhiro Fukuda, Masakazu Kojima, Kazuo Murota, and Kazuhide Nakata,
SIAM Journal on Optimization 11, 647674, 2001.

"Exploiting sparsity in semidefinite programming via matrix
completion II: Implementation and numerical results,"
Kazuhide Nakata, Katsuki Fujisawa, Mituhiro Fukuda, Masakazu Kojima,
and Kazuo Murota,
Mathematical Programming B95, 303327, 2003.

"SDPAC (SemiDefinite Programming Algorithm
 Completion method) User's Manual  Version 6.10,"
Katsuki Fujisawa, Mituhiro Fukuda, Masakazu Kojima, Kazuhide
Nakata, and Makoto Yamashita,
Research Report B409, Dept. Math. & Comp. Sciences, Tokyo Institute of Technology,
August 2004.
SDPARA

"Algorithm 925: Parallel solver for semidefinite programming problem having sparse Schur complement matrix,"
Makoto Yamashita, Katsuki Fujisawa, Mituhiro Fukuda, Kazuhide Nakata, Maho Nakata,
ACM Transactions on Mathematical Software 39(1) , Article No. 6, November, 2012.

"SDPARA : SemiDefinite Programming Algorithm paRAllel version,"
Makoto Yamashita, Katsuki Fujisawa, and Masakazu Kojima,
Parallel Computing 29, 10531067, 2003.
SDPARAC

"A parallel primaldual interiorpoint method for semidefinite
programs using positive definite matrix completion,"
Kazuhide Nakata, Makoto Yamashita, Katsuki Fujisawa, and Masakazu Kojima,
Parallel Computing 32, 2443, 2006.
SDPAGMP, SDPAQD, SDPADD

"A numerical evaluation of highly accurate multipleprecision arithmetic version of semidefinite programming solver:SDPAGMP, QD and DD,"
Maho Nakata,
the proceedings of 2010 IEEE MultiConference on Systems and Control, 2934, 2010.

"Variational calculation of secondorder reduced density matrices by strong Nrepresentability conditions and an accurate semidefinite programming solver,"
Maho Nakata, Bastiaan J. Braams, Katsuki Fujisawa, Mituhiro Fukuda, Jerome K. Percus, Makoto Yamashita, and Zhengji Zhao,
Journal of Chemical Physics 128 , 164113, 2008.

"A highperformance software package for semidefinite programs: SDPA 7,"
Makoto Yamashita, Katsuki Fujisawa, Mituhiro Fukuda, Kazuhide Nakata, Maho Nakata,
Research Report B463, Dept. of Mathematical and Computing Science, Tokyo Institute of Technology, Tokyo, Japan,
September, 2010.
SDPAP
Currently, please refer SDPA famliy listed above.
SDPA source file includes SDPAM and callable library.
SDPA and SDPAM are also available on Windows.
Here, we provide only binary packages. To compile from source, we used cross compilers on Debian. For details, check README.txt in the zipped files. Using the source code, both 64bit and 32bit binaries can be generated.
SDPA is also available on Ubuntu 11.04 or later.
BLAS on Ubuntu is not optimized so well. The performance
of Ubuntu package is inferior to the SDPA linked with
opitimized BLAS.
To install SDPA,
$ sudo aptget install sdpa
To install SDPAM,
$ sudo aptget install sdpam
To install SDPA callable libraries and examples,
$ sudo aptget install libsdpadev
Source code for Linux/Mac is included in SDPA.
Binary file for Windows is under preparation.