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    Nondifferentiable and Two-Level Mathematical Programming

    ISBN-10: 1461378958
    ISBN-13: 9781461378952
    Author(s): Kiyotaka Shimizu, Yo Ishizuka, Jonathan F. Bard
    Description: The first objective of this book is to provide an up-to-date exposition of the techniques that are available for optimizing complex systems and to do so in a way that unifies the theory of nondifferentiable and two-level mathematical programming.  More...
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    Publisher: Springer-Verlag New York Inc.
    Binding: Paperback
    Pages: 488
    Size: 9.45" wide x 61.42" long x 92.13" tall
    Weight: 1630.200
    Language: English

    The first objective of this book is to provide an up-to-date exposition of the techniques that are available for optimizing complex systems and to do so in a way that unifies the theory of nondifferentiable and two-level mathematical programming. The second objective is to highlight the most effective algorithms developed for solving a particular instance of the two-level problem known as a static Stackelberg game. In approaching these objectives, close attention is paid to two ideas: (i) the integration of material on differentiable and nondifferentiable mathematical programming, and (ii) the treatment of various two-level mathematical programming problems in a unified manner. This book is intended for the use of researchers, graduate students and practitioners specializing in systems optimization and its applications. In particular, operations researchers, system designers, management scientists, control engineers and mathematicians who work on either applied or theoretical aspects of optimization will find the book useful and beneficial.

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