Decision Making Under Uncertainty - Energy and Power (Hardcover, 2002 ed.)

In the ideal world, major decisions would be made based on complete and reliable information available to the decision maker. We live in a world of uncertainties, and decisions must be made from information which may be incomplete and may contain uncertainty. The key mathematical question addressed in this volume is "how to make decision in the presence of quantifiable uncertainty." The volume contains articles on model problems of decision making process in the energy and power industry when the available information is noisy and/or incomplete. The major tools used in studying these problems are mathematical modeling and optimization techniques; especially stochastic optimization. These articles are meant to provide an insight into this rapidly developing field, which lies in the intersection of applied statistics, probability, operations research, and economic theory. It is hoped that the present volume will provide entry to newcomers into the field, and stimulation for further research.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	The IMA Volumes in Mathematics and its Applications, 128
Release date:	June 2002
First published:	2002
Editors:	Claude Greengard • Andrzej Ruszczynski
Dimensions:	234 x 156 x 11mm (L x W x T)
Format:	Hardcover
Pages:	164
Edition:	2002 ed.
ISBN-13:	978-0-387-95465-3
Categories:	Books > Earth & environment > The environment > Management of land & natural resources Books > Reference & Interdisciplinary > Communication studies > Decision theory > General Books > Business & Economics > Industry & industrial studies > Energy industries & utilities > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	0-387-95465-1
Barcode:	9780387954653

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