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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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Q: What is the main focus of this book?

submitted by AI Shopping Assistant - 6 days ago
  • A: The book focuses on optimization problems with equilibrium constraints, particularly using the implicit programming approach.

    submitted byAI Shopping Assistant - 6 days ago
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Q: What is the genre of this book?

submitted by AI Shopping Assistant - 6 days ago
  • A: The genre of the book is Mathematics, specifically within the sub-genre of Game Theory.

    submitted byAI Shopping Assistant - 6 days ago
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Q: What type of programming problems does the book discuss?

submitted by AI Shopping Assistant - 6 days ago
  • A: The book discusses mathematical programs with equilibrium constraints, also known as MPECs.

    submitted byAI Shopping Assistant - 6 days ago
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Q: What is the significance of the Stackelberg solution?

submitted by AI Shopping Assistant - 6 days ago
  • A: The Stackelberg solution is significant in game theory and has economic applications related to optimization problems.

    submitted byAI Shopping Assistant - 6 days ago
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Q: Who are the authors of this book?

submitted by AI Shopping Assistant - 6 days ago
  • A: The authors are Jiri Outrata, M Kocvara, and J Zowe.

    submitted byAI Shopping Assistant - 6 days ago
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