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Synopsis
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.Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Wim Klein Haneveld is Emeritus Professor in the Department of Operations at the University of Groningen. He is one of the pioneers of Stochastic Programming. He developed the Stochastic Programming course for graduate students at the University of Groningen and has taught this course for many years.
Maarten van der Vlerk was Professor in the Department of Operations at the University of Groningen. He was an expert in Stochastic Integer Programming. For many years he was lecturer of the Stochastic Programming course in Groningen and a PhD course on Stochastic Programming at the LNMB (the Dutch Network on the Mathematics of Operations Research).
Ward Romeijnders is Assistant Professor in the Department of Operations at the University of Groningen. He is an expert in Stochastic Integer Programming. He is the current lecturer of the Stochastic Programming courses in Groningen and at the LNMB.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer Nature Switzerland AG
- Date d'édition2019
- ISBN 10 3030292185
- ISBN 13 9783030292188
- ReliureRelié
- Langueanglais
- Nombre de pages249
- Coordonnées du fabricantnon disponible
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Stochastic Programming
Edité par
Springer International Publishing, 2019
ISBN 10 : 3030292185
ISBN 13 : 9783030292188
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive course on stochastic programming on the graduate levelPlaces major emphasis on conceptual modelingShows students how to integrate risk in a linear programming framework. N° de réf. du vendeur 334318814
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Stochastic Programming: Modeling Decision Problems Under Uncertainty (Graduate Texts in Operations Research)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Stochastic Programming : Modeling Decision Problems Under Uncertainty
Edité par
Springer International Publishing, Springer Nature Switzerland, 2019
ISBN 10 : 3030292185
ISBN 13 : 9783030292188
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : 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. N° de réf. du vendeur 9783030292188
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Stochastic Programming
ISBN 10 : 3030292185
ISBN 13 : 9783030292188
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 264 pp. Englisch. N° de réf. du vendeur 9783030292188
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Stochastic Programming
ISBN 10 : 3030292185
ISBN 13 : 9783030292188
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch. N° de réf. du vendeur 9783030292188
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Stochastic Programming: Modeling Decision Problems Under Uncertainty (Graduate Texts in Operations Research)
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Stochastic Programming: Modeling Decision Problems Under Uncertainty (Graduate Texts in Operations Research)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New. N° de réf. du vendeur ABLIING23Mar3113020012568
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Stochastic Programming: Modeling Decision Problems Under Uncertainty (Graduate Texts in Operations Research)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 249 pages. 9.00x6.50x0.75 inches. In Stock. N° de réf. du vendeur x-3030292185
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