Aspects of Semidefinite Programming : Interior Point Algorithms and Selected Applications



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Éditeur :

Kluwer Academic Publishers


Paru le : 1983



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Description

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 Lovász 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.
Pages
n.c
Collection
n.c
Parution
1983
Marque
Kluwer Academic Publishers
EAN papier
0306478196
EAN PDF
0306478196

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
1445 Ko
Prix
132,19 €

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