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Robust optimization /

Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of r...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ben-Tal, A.
Otros Autores: El Ghaoui, Laurent, Nemirovskiĭ, A. S. (Arkadiĭ Semenovich)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton : Princeton University Press, ©2009.
Colección:Princeton series in applied mathematics.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of the subject. Robust optimization is designed to meet some major challenges associated with uncertainty-affected optimization problems: to opera.
Descripción Física:1 online resource (xxii, 542 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9781400831050
1400831059
1282259288
9781282259287
9786612259289
6612259280