Stochastic programming modeling decision de klein haneveld (23 resultados)

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Condición: New. pp. XII, 249 27 illus., 1 illus. in color. 1 Edition NO-PA16APR2015-KAP.

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Condición: New. pp. XII, 249 27 illus., 1 illus. in color.

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. The book begins by exploring a linear programming problem with random parameters, representing a decision problem under uncertainty. Several models for this problem are presented, including the main ones used in Stochastic Programming: recourse models and chance constraint models. The book not only discusses the theoretical properties of these models and algorithms for solving them, but also explains the intrinsic differences between the models. In the book's closing section, several case studies are presented, helping students apply the theory covered to practical problems.The book is based on lecture notes developed for an Econometrics and Operations Research course for master students at the University of Groningen, the Netherlands - the longest-standing Stochastic Programming course worldwide.…

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Paperback. Condición: Brand New. 249 pages. 9.25x6.10x0.63 inches. In Stock.

Taschenbuch. Condición: Neu. Stochastic Programming | Modeling Decision Problems Under Uncertainty | Willem K. Klein Haneveld (u. a.) | Taschenbuch | Graduate Texts in Operations Research | xii | Englisch | 2020 | Springer | EAN 9783030292218 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condición: New. In English.

Condición: New. pp. XII, 249 27 illus., 1 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.

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Paperback. Condición: Brand New. 249 pages. 9.25x6.10x0.63 inches. In Stock. This item is printed on demand.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. The book begins by exploring a linear programming problem with random parameters, representing a decision problem under uncertainty. Several models for this problem are presented, including the main ones used in Stochastic Programming: recourse models and chance constraint models. The book not only discusses the theoretical properties of these models and algorithms for solving them, but also explains the intrinsic differences between the models. In the book's closing section, several case studies are presented, helping students apply the theory covered to practical problems.The book is based on lecture notes developed for an Econometrics and Operations Research course for master students at the University of Groningen, the Netherlands - the longest-standing Stochastic Programming course worldwide.…

Condición: New. Print on Demand pp. XII, 249 27 illus., 1 illus. in color.

Condición: New. PRINT ON DEMAND pp. XII, 249 27 illus., 1 illus. in color.