Aspects of Semidefinite Programming: Interior Point Algorithms and Selected Applications: 65 (Applied Optimization, 65) - Image 1

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Springer Aspects of Semidefinite Programming: Interior Point Algorithms and Selected Applications: 65 (Applied Optimization, 65)

Name: Aspects of Semidefinite Programming: Interior Point Algorithms and Selected Applications: 65 (Applied Optimization, 65)
Brand: Springer
Price: 106.2 GBP
Availability: InStock

Algorithms

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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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1441952160
Category: Books > Subjects > Computing & Internet > Programming > Algorithms
Domain: Amazon UK
Publication Date: 10 December 2010
Listed Since: 06 July 2010

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Springer Aspects of Semidefinite Programming: Interior Point Algorithms and Selected Applications: 65 (Applied Optimization, 65)

About as cheap as it gets. The only time it was cheaper was 1 month ago.

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