Handbook of Semidefinite Programming: Theory, Algorithms, and Applications

Semidefinite programming (SDP) is one of the most exciting and active research areas in optimization. It has and continues to attract researchers with very diverse backgrounds, including experts in convex programming, linear algebra, numerical optimization, combinatorial optimization, control theory...

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Bibliographic Details
Other Authors: Wolkowicz, Henry (Editor), Saigal, Romesh (Editor), Vandenberghe, Lieven (Editor)
Format: Electronic eBook
Language:English
Published: New York, NY Springer US 2000
Edition:1st ed. 2000
Series:International Series in Operations Research & Management Science 27
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Online Access:BTU01
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Summary:Semidefinite programming (SDP) is one of the most exciting and active research areas in optimization. It has and continues to attract researchers with very diverse backgrounds, including experts in convex programming, linear algebra, numerical optimization, combinatorial optimization, control theory, and statistics. This tremendous research activity has been prompted by the discovery of important applications in combinatorial optimization and control theory, the development of efficient interior-point algorithms for solving SDP problems, and the depth and elegance of the underlying optimization theory. The Handbook of Semidefinite Programming offers an advanced and broad overview of the current state of the field. It contains nineteen chapters written by the leading experts on the subject. The chapters are organized in three parts: Theory, Algorithms, and Applications and Extensions
Physical Description:1 Online-Ressource (XXVII, 654 p)
ISBN:9781461543817
DOI:10.1007/978-1-4615-4381-7

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