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Abstract: A central drawback of primal-dual interior point methods for semidefinite programs is their lack of ability to exploit problem structure in cost and coefficient matrices. This restricts applicability to problems of small dimension. (Update)
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BibTeX entry: (Update)
C. Helmberg and F. Rendl. A spectral bundle method for semidefinite programming. Technical Report SC-97-37, Konrad-Zuse-Zentrum fuer Informationstechnik, Berlin, August 1997. Revised: October 1997. http://citeseer.ist.psu.edu/helmberg97spectral.html More
@article{ helmberg00spectral,
author = "C. Helmberg and F. Rendl",
title = "A spectral bundle method for semidefinite programming",
journal = "SIAM Journal on Optimization",
volume = "10(3)",
pages = "673--696",
year = "2000",
url = "citeseer.ist.psu.edu/helmberg97spectral.html" }
Citations (may not include all citations):2441 The Johns Hopkins University Press (context) - Golub, van Loan - 1989
415 Improved approximation algorithms for maximum cut and satisf.. - Goemans, Williamson - 1995
230 Interior point methods in semidefinite programming with appl.. - Alizadeh - 1995
146 Primal-dual interior-point methods for semidefinite programm.. - Alizadeh, Haeberly et al. - 1996
71 Solving large-scale sparse semidefinite programs for combina.. - Benson, Ye et al. - 1997
47 Complementarity and nondegeneracy in semidefinite programmin.. - Alizadeh, Haeberly et al. - 1997
37 An implicitly restarted Lanczos method for large symmetric e.. - Calvetti, Reichel et al. - 1994
29 The minimization of certain nondifferentiable sums of eigenv.. (context) - Cullum, Donath et al. - 1975
18 Iterative methods for the computation of a few eigenvalues o.. (context) - Baglama, Calvetti et al. - 1996
10 Semidefinite programming: a path-following algorithm for a l.. (context) - Faybusovich - 1996
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