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Aspects of Semidefinite Programming: Interior Point Algorithms and Selected Applications: 65 (Applied Optimization) - Hardcover
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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 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.
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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 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.
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Aspects of Semidefinite Programming. Interior Point Algorithms and Selected Applications. Applied Optimization, Volume 65.
Verlag:
Dordrecht, Kluwer Academic Press, 2002
ISBN 10: 1402005474
ISBN 13: 9781402005473
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Hardcover. 293 p. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 9781402005473 Sprache: Englisch Gewicht in Gramm: 650. Artikel-Nr. 396072
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Aspects of Semidefinite Programming: Interior Point Algorithms and Selected Applications (Applied Optimization, 65)
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Aspects of Semidefinite Programming : Interior Point Algorithms and Selected Applications
Verlag:
Springer US, Springer New York, 2002
ISBN 10: 1402005474
ISBN 13: 9781402005473
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9781402005473
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Aspects of Semidefinite Programming: Interior Point Algorithms and Selected Applications
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Hardcover. Zustand: Brand New. 300 pages. 9.25x6.25x0.75 inches. In Stock. Artikel-Nr. x-1402005474
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