Bibliographic record for `Waki:2008:ASS'
@Article{Waki:2008:ASS,
author = "Hayato Waki and Sunyoung Kim and Masakazu Kojima and Mazakazu Muramatsu",
title = "Algorithm 883: {SparsePOP} : a Sparse Semidefinite Programming Relaxation of Polynomial Optimization
Problems",
journal = "{ACM} Transactions on Mathematical Software",
volume = "35",
number = "2",
month = jul,
year = "2008",
pages = "15",
note = "Article 15, 13 pages",
URL = "http://doi.acm.org/10.1145/1377612.1377619",
abstract = "SparesPOP is a MATLAB implementation of the sparse semidefinite programming (SDP) relaxation method
for approximating a global optimal solution of a polynomial optimization problem (POP) proposed by Waki,
Kim, Kojima and Muramatsu. The sparse SDP relaxation exploits a sparse structure of polynomials in POPs
when applying ``a hierarchy of LMI relaxations of increasing dimensions'' by Lasserre. The efficiency of
SparsePOP to approximate optimal solutions of POPs is thus increased, and larger scale POPs can be handled.",
}
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