Lectures on Modern Convex Optimization. Analysis, Algorithms,

Ben-Tal,Aharon

ISBN 10: 0898714915 / ISBN 13: 9780898714913

Editore: Siam, 2001

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Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and semidefinite programming. The authors present the basic theory underlying these problems as well as their numerous applications in engineering, including synthesis of filters, Lyapunov stability analysis, and structural design. The authors also discuss the complexity issues and provide an overview of the basic theory of state-of-the-art polynomial time interior point methods for linear, conic quadratic, and semidefinite programming. The book's focus on well-structured convex problems in conic form allows for unified theoretical and algorithmical treatment of a wide spectrum of important optimization problems arising in applications. 860 gr. Codice articolo 9780898714913LEA102875

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Titolo: Lectures on Modern Convex Optimization. ...

Casa editrice: Siam

Data di pubblicazione: 2001

Legatura: Blanda

Illustratore: No Aplica

Condizione: New

Condizione sovraccoperta: Nuevo

Edizione: 0.

Tipologia articolo: Libro

Descrizione articolo

Riassunto:

Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and semidefinite programming. The authors present the basic theory underlying these problems as well as their numerous applications in engineering, including synthesis of filters, Lyapunov stability analysis, and structural design. The authors also discuss the complexity issues and provide an overview of the basic theory of state-of-the-art polynomial time interior point methods for linear, conic quadratic, and semidefinite programming. The book's focus on well-structured convex problems in conic form allows for unified theoretical and algorithmical treatment of a wide spectrum of important optimization problems arising in applications.

Descrizione del libro:

Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and semidefinite programming. The authors present the basic theory underlying these problems as well as their numerous applications in engineering, including synthesis of filters, Lyapunov stability analysis, and structural design.