Stochastic Programming | Buch

Cover: 9783030292188 | Stochastic Programming | Modeling Decision Problems Under Uncertainty

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Sprache: Englisch

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Beschreibung

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.

Über den Autor

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.

Zusammenfassung

Provides a comprehensive course on stochastic programming on the graduate level

Places major emphasis on conceptual modeling

Shows students how to integrate risk in a linear programming framework

Includes an additional chapter on stochastic integer programming

Inhaltsverzeichnis

Introduction.- Random Objective Functions.- Recourse Models.- Stochastic Mixed-integer Programming.- Chance Constraints.- Integrated Chance Constraints.- Assignments.- Case Studies.

Details

Erscheinungsjahr:	2019
Fachbereich:	Allgemeines
Genre:	Wirtschaft
Rubrik:	Recht & Wirtschaft
Medium:	Buch
Reihe:	Graduate Texts in Operations Research
Inhalt:	xii 249 S. 26 s/w Illustr. 1 farbige Illustr. 249 p. 27 illus. 1 illus. in color.
ISBN-13:	9783030292188
ISBN-10:	3030292185
Sprache:	Englisch
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Autor:	Klein Haneveld, Willem K. Romeijnders, Ward Vlerk, Maarten H. van der
Auflage:	1st ed. 2020
Hersteller:	Springer International Publishing Springer International Publishing AG Graduate Texts in Operations Research
Maße:	241 x 160 x 20 mm
Von/Mit:	Willem K. Klein Haneveld (u. a.)
Erscheinungsdatum:	06.11.2019
Gewicht:	0,565 kg

Artikel-ID: 116947092