T�tulo: Multilevel Optimization: Algorithms and Applications: Algorithms and Applications (Nonconvex Optimization and Its Applications)
Editor: Springer
Fecha de publicaci�n: 2011
Idioma: Ingl�s
ISBN 10: 146137989X
ISBN 13: 9781461379898
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: New

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Sinopsis

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).

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