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Abstract: The SDPA (SemiDefinite Programming Algorithm) is a software package for solving semidefinite program (SDP). It is based on a Mehrotra-type predictor-corrector infeasible primal-dual interior-point method. The SDPA handles the standard form SDP and its dual. It is implemented in C++ language utilizing the LAPACK [3] for matrix computation. The SDPA incorporates dynamic memory allocation and deallocation. Therefore, the maximum size of an SDP that can be solved depends on the size of... (Update)
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BibTeX entry: (Update)
K. Fujisawa and M. Kojima, "SDPA(Semidefinite Programming Algorithm) : User's manual", Research Reports on Information Sciences, Ser. B : Operations Research B308, Dept. of Information Sciences, Tokyo Institute of Technology, 2-12-1 Oh-Okayama, Meguro-ku, Tokyo 152, Japan, December 1995. http://citeseer.ist.psu.edu/article/fujisawa95sdpa.html More
@techreport{ fujisawa95sdpa,
author = "K. Fujisawa and M. Kojima",
title = "{SDPA (Semi--Definite Programming Algorithm) --- User's Manual}",
number = "B--308",
address = "Oh--Okayama, Meguro--ku, Tokyo\,152, Japan",
year = "1995",
url = "citeseer.ist.psu.edu/article/fujisawa95sdpa.html" }
Citations (may not include all citations):529 Linear matrix inequalities in system and control theory (context) - Boyd - 1994
173 An interior-point method for semidefinite programming - Helmberg, Rendl et al. - 1996
146 Primal-dual interior-point methods for semidefinite programm.. - Alizadeh, Haeberly et al. - 1994
146 Primal-dual interior point methods for semidefinite programm.. - Alizadeh, Haeberly et al. - 1998
99 Primal-dual path following algorithms for semidefinite progr.. - Monteiro - 1995
98 the implementation of a primal-dual interior point method (context) - Mehrotra - 1992
92 the Nesterov-Todd direction in semidefinite programming - Todd, Toh et al. - 1998
78 Interior-point methods for the monotone semidefinite linear .. (context) - Kojima, Shindoh et al. - 1997
64 Exploiting Sparsity in Primal-Dual Interior-Point Methods fo.. - Fujisawa, Kojima et al. - 1997
25 Self-scaled cones and interior-point methods in nonlinear pr.. - Nesterov, Todd - 1994
5 Proceedings of the Center for Mathematics and Its Applicatio.. (context) - Stewart, leyd et al. - 1994
3 LAPACK Users' Guide Third (context) - Anderson, Bai et al. - 1999
The graph only includes citing articles where the year of publication is known.
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Exploiting Sparsity in Primal-Dual Interior-Point.. - Fujisawa, Kojima, Nakata (1997) (Correct)
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