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Lieferstatus:	i.d.R. innert 14-24 Tagen versandfertig
Veröffentlichung:	Juni 2012
Genre:	Schulbücher
	B / Decision Making / Management decision making / Mathematical optimization / Mathematics and Statistics / Numerical analysis / Operational research / Operations Research / Operations Research and Decision Theory / Operations Research/Decision Theory / Optimization / Probabilities / Probability Theory / Probability Theory and Stochastic Processes / Stochastics
ISBN:	9780387878164
EAN-Code:	9780387878164
Verlag:	Springer New York
Einband:	Gebunden
Sprache:	English
Serie:	Springer Series in Operations Research and Financial Engineering
Dimensionen:	H 241 mm / B 160 mm / D 15 mm
Gewicht:	459 gr
Seiten:	192
Zus. Info:	HC gerader Rücken kaschiert
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

While there are several texts on how to solve and analyze stochastic programs, this is the first text to address basic questions about how to model uncertainty, and how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This text would be suitable as a stand-alone or supplement for a second course in OR/MS or in optimization-oriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental issues are. The book is easy-to-read, highly illustrated with lots of examples and discussions. It will be suitable for graduate students and researchers working in operations research, mathematics, engineering and related departments where there is interest in learning how to model uncertainty. Alan King is a Research Staff Member at IBM's Thomas J. Watson Research Center in New York. Stein W. Wallace is a Professor of Operational Research at Lancaster University Management School in England.