Idioma: Inglés
Publicado por Society for Industrial and Applied Mathematics,U.S., US, 1987
ISBN 10: 0898714915 ISBN 13: 9780898714913
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 175,92
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. 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.
Idioma: Inglés
Publicado por Society for Industrial & Applied Mathematics, 1987
ISBN 10: 0898714915 ISBN 13: 9780898714913
Librería: Majestic Books, Hounslow, Reino Unido
EUR 225,62
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. xvi + 488 Illus.
Idioma: Inglés
Publicado por Society for Industrial and Applied Mathematics,U.S., US, 1987
ISBN 10: 0898714915 ISBN 13: 9780898714913
Librería: Rarewaves.com UK, London, Reino Unido
EUR 166,52
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. 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.