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Aspects of Semidefinite Programming - Interior Point Algorithms and Selected Applications (Hardcover, 2002 ed.)
Loot Price: R4,402
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Aspects of Semidefinite Programming - Interior Point Algorithms and Selected Applications (Hardcover, 2002 ed.)
Series: Applied Optimization, 65
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Semidefinite programming has been described as linear programming
for the year 2000. It is an exciting new branch of mathematical
programming, due to important applications in control theory,
combinatorial optimization and other fields. Moreover, the
successful interior point algorithms for linear programming can be
extended to semidefinite programming.
In this monograph the basic theory of interior point algorithms is
explained. This includes the latest results on the properties of
the central path as well as the analysis of the most important
classes of algorithms. Several "classic" applications of
semidefinite programming are also described in detail. These
include the Lov sz theta function and the MAX-CUT approximation
algorithm by Goemans and Williamson.
Audience: Researchers or graduate students in optimization or
related fields, who wish to learn more about the theory and
applications of semidefinite programming.
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