Algorithms for Nonlinear Programming and Multiple–Objective Decisions (Wiley Interscience Series in Systems and Optimization) - Hardcover

Rustem, Berç

 
9780471978503: Algorithms for Nonlinear Programming and Multiple–Objective Decisions (Wiley Interscience Series in Systems and Optimization)

Synopsis

Algorithms are solution methods used for optimal decision making in mathematics and operations research. This book is a study of algorithms for decision making with multiple objectives. It is a distillation of recent research in developing methodologies for solving optimal decision problems in economics, and engineering and reflects current research in these areas.

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Review

"This book is one of the most up–to–date, comprehensive and integrated treatments of nonlinear programming algorithms and multiple objective decisions...It is clearly one of those rare books that deals with a complex subject matter and yet is easy to read and comprehend." ( Computational Statistics Data Analysis)

"The book is mainly written for researchers...and computer scientists...Its strong points are in serving this community with a self–contained introduction into nonlinear programming tailored to needs for tackling multiple–objective decisions under uncertainty from the specific viewpoint adopted in the book." (Optima, Vol. 60, December 1998)



"...This book is one of the most up–to–date, comprehensive and integrated treatments of nonlinear programming algorithms and multiple objective decisions..." ( Computational Statistics Data Analysis)

"...mainly written for researchers...and computer scientists...Its strong points are in serving this community with a self–contained introduction into nonlinear programming..." (Optima, Vol. 60, December 1998)

Synopsis

Algorithms (solution methods) are used for optimal decision making with multiple objectives in operations research, management science, economics, finance and engineering design. An optimal decision needs to take into consideration possible future uncertainties which, as they become known, result in a necessary revision of the decision and the consideration of new future uncertainties. This volume is study of this topic. It is a distillation of research in developing methodologies and reflects research in this area. The question of multiple objective decision making with a nonlinear static problem framework is considered using quadratic programming, nonlinear programming, nonlinear constrained min-max, mean-variance optimization and noncooperative Nash games.

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