Multilevel Optimization: Algorithms and Applications (Paperback, Softcover reprint of the original 1st ed. 1998)

Researchers working with nonlinear programming often claim "the word is non linear" indicating that real applications require nonlinear modeling. The same is true for other areas such as multi-objective programming (there are always several goals in a real application), stochastic programming (all data is uncer tain and therefore stochastic models should be used), and so forth. In this spirit we claim: The word is multilevel. In many decision processes there is a hierarchy of decision makers, and decisions are made at different levels in this hierarchy. One way to handle such hierar chies is to focus on one level and include other levels' behaviors as assumptions. Multilevel programming is the research area that focuses on the whole hierar chy structure. In terms of modeling, the constraint domain associated with a multilevel programming problem is implicitly determined by a series of opti mization problems which must be solved in a predetermined sequence. If only two levels are considered, we have one leader (associated with the upper level) and one follower (associated with the lower level)."

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Nonconvex Optimization and Its Applications, 20
Release date:	September 2011
First published:	1998
Editors:	A. Migdalas • Panos M. Pardalos • Peter Varbrand
Dimensions:	240 x 160 x 21mm (L x W x T)
Format:	Paperback
Pages:	386
Edition:	Softcover reprint of the original 1st ed. 1998
ISBN-13:	978-1-4613-7989-8
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	1-4613-7989-X
Barcode:	9781461379898

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