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Nonsmooth Approach to Optimization Problems with Equilibrium Constraints - (Nonconvex Optimization and Its Applications) (Hardcover) - 1 of 1

Nonsmooth Approach to Optimization Problems with Equilibrium Constraints - (Nonconvex Optimization and Its Applications) (Hardcover)

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Highlights

  • In the early fifties, applied mathematicians, engineers and economists started to pay c10se attention to the optimization problems in which another (lower-Ievel) optimization problem arises as a side constraint.
  • Author(s): Jiri Outrata & M Kocvara & J Zowe
  • 274 Pages
  • Mathematics, Game Theory
  • Series Name: Nonconvex Optimization and Its Applications

Description



Book Synopsis



In the early fifties, applied mathematicians, engineers and economists started to pay c10se attention to the optimization problems in which another (lower-Ievel) optimization problem arises as a side constraint. One of the motivating factors was the concept of the Stackelberg solution in game theory, together with its economic applications. Other problems have been encountered in the seventies in natural sciences and engineering. Many of them are of practical importance and have been extensively studied, mainly from the theoretical point of view. Later, applications to mechanics and network design have lead to an extension of the problem formulation: Constraints in form of variation al inequalities and complementarity problems were also admitted. The term "generalized bi level programming problems" was used at first but later, probably in Harker and Pang, 1988, a different terminology was introduced: Mathematical programs with equilibrium constraints, or simply, MPECs. In this book we adhere to MPEC terminology. A large number of papers deals with MPECs but, to our knowledge, there is only one monograph (Luo et al., 1997). This monograph concentrates on optimality conditions and numerical methods. Our book is oriented similarly, but we focus on those MPECs which can be treated by the implicit programming approach: the equilibrium constraint locally defines a certain implicit function and allows to convert the problem into a mathematical program with a nonsmooth objective.
Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W) x .69 Inches (D)
Weight: 1.31 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 274
Genre: Mathematics
Sub-Genre: Game Theory
Series Title: Nonconvex Optimization and Its Applications
Publisher: Springer
Format: Hardcover
Author: Jiri Outrata & M Kocvara & J Zowe
Language: English
Street Date: July 31, 1998
TCIN: 1011487701
UPC: 9780792351702
Item Number (DPCI): 247-04-4665
Origin: Made in the USA or Imported
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Estimated ship dimensions: 0.69 inches length x 6.14 inches width x 9.21 inches height
Estimated ship weight: 1.31 pounds
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