probabilistic randomized methods design (14 résultats)

Hard Cover. Etat : Very Good. No Jacket.

21 figs., XIII, 457 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Etat : New. In.

Etat : New. In.

Etat : New.

Etat : New.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - In many engineering design and optimization problems, the presence of uncertainty in the data is a critical issue.There aredifferent ways to describe this uncertainty and to devise designs that are partly insensitive or robust to it.This book examines uncertain systems in control engineering and general decision or optimization problems for which data is uncertain.Written byleading researchers in optimization and robust control;it highlightsthe interactions between these two fields. Part I describes theory and solution methods for probability-constrained and stochastic optimization problems;Part II focuses on numerical methods for solving randomly perturbed convex programs and semi-infinite optimization problems by probabilistic techniques;Part III details the theory and applications of randomized techniques to the analysis and design of robust control systems.It will interest researchers, academics and postgraduates in control engineering andoperations researchas well as professionals working in operations research.

Paperback. Etat : Brand New. 462 pages. 9.21x6.06x0.94 inches. In Stock.

Buch. Etat : Neu. Neuware - In many engineering design and optimization problems, the presence of uncertainty in the data is a critical issue.There aredifferent ways to describe this uncertainty and to devise designs that are partly insensitive or robust to it.This book examines uncertain systems in control engineering and general decision or optimization problems for which data is uncertain.Written byleading researchers in optimization and robust control;it highlightsthe interactions between these two fields. Part I describes theory and solution methods for probability-constrained and stochastic optimization problems;Part II focuses on numerical methods for solving randomly perturbed convex programs and semi-infinite optimization problems by probabilistic techniques;Part III details the theory and applications of randomized techniques to the analysis and design of robust control systems.It will interest researchers, academics and postgraduates in control engineering andoperations researchas well as professionals working in operations research.

Hardcover. 457 pages. Brand new, unread copy.

Etat : Buone. inglese Condizioni dell'esterno: Buone Condizioni dell'interno: Ottime.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Probabilistic and Randomized Methods for Design under Uncertainty is a collection of contributions from the world's leading experts in a fast-emerging branch of control engineering and operations research. The book will be bought by university researchers and lecturers along with graduate students in control engineering and operational research. 472 pp. Englisch.

Taschenbuch. Etat : Neu. Probabilistic and Randomized Methods for Design under Uncertainty | Fabrizio Dabbene (u. a.) | Taschenbuch | xiv | Englisch | 2012 | Springer London | EAN 9781849965521 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In many engineering design and optimization problems, the presence of uncertainty in the data is a critical issue. There are different ways to describe this uncertainty and to devise designs that are partly insensitive or robust to it.This book examines uncertain systems in control engineering and general decision or optimization problems for which data is uncertain. Written by leading researchers in optimization and robust control; it highlights the interactions between these two fields.Part I describes theory and solution methods for probability-constrained and stochastic optimization problems;Part II focuses on numerical methods for solving randomly perturbed convex programs and semi-infinite optimization problems by probabilistic techniques;Part III details the theory and applications of randomized techniques to the analysis and design of robust control systems.It will interest researchers, academics and postgraduates in control engineering and operations research as well as professionals working in operations research.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 472 pp. Englisch.