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Optimization with Multivalued Mappings - (Springer Optimization and Its Applications) by  Stephan Dempe & Vyacheslav Kalashnikov (Hardcover) - 1 of 1

Optimization with Multivalued Mappings - (Springer Optimization and Its Applications) by Stephan Dempe & Vyacheslav Kalashnikov (Hardcover)

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Highlights

  • In the field of nondifferentiable nonconvex optimization, one of the most intensely investigated areas is that of optimization problems involving multivalued mappings in constraints or as the objective function.
  • Author(s): Stephan Dempe & Vyacheslav Kalashnikov
  • 276 Pages
  • Mathematics, Linear & Nonlinear Programming
  • Series Name: Springer Optimization and Its Applications

Description



Book Synopsis



In the field of nondifferentiable nonconvex optimization, one of the most intensely investigated areas is that of optimization problems involving multivalued mappings in constraints or as the objective function. This book focuses on the tremendous development in the field that has taken place since the publication of the most recent volumes on the subject. The new topics studied include the formulation of optimality conditions using different kinds of generalized derivatives for set-valued mappings (such as, for example, the coderivative of Mordukhovich), the opening of new applications (e.g., the calibration of water supply systems), or the elaboration of new solution algorithms (e.g., smoothing methods).

The book is divided into three parts. The focus in the first part is on bilevel programming. The chapters in the second part contain investigations of mathematical programs with equilibrium constraints. The third part is on multivalued set-valued optimization. The chapters were written by outstanding experts in the areas of bilevel programming, mathematical programs with equilibrium (or complementarity) constraints (MPEC), and set-valued optimization problems.



From the Back Cover



In the field of nondifferentiable nonconvex optimization, one of the most intensely investigated areas is that of optimization problems involving multivalued mappings in constraints or as the objective function. This book focuses on the tremendous development in the field that has taken place since the publication of the most recent volumes on the subject. The new topics studied include the formulation of optimality conditions using different kinds of generalized derivatives for set-valued mappings (such as, for example, the coderivative of Mordukhovich), the opening of new applications (e.g., the calibration of water supply systems), or the elaboration of new solution algorithms (e.g., smoothing methods).

The book is divided into three parts. The focus in the first part is on bilevel programming. The chapters in the second part contain investigations of mathematical programs with equilibrium constraints. The third part is on multivalued set-valued optimization. The chapters were written by outstanding experts in the areas of bilevel programming, mathematical programs with equilibrium (or complementarity) constraints (MPEC), and set-valued optimization problems.

Audience

This book is intended for researchers, graduate students and practitioners in the fields of applied mathematics, operations research, and economics.

Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W) x .69 Inches (D)
Weight: 1.29 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 276
Genre: Mathematics
Sub-Genre: Linear & Nonlinear Programming
Series Title: Springer Optimization and Its Applications
Publisher: Springer
Format: Hardcover
Author: Stephan Dempe & Vyacheslav Kalashnikov
Language: English
Street Date: July 18, 2006
TCIN: 1006601616
UPC: 9780387342207
Item Number (DPCI): 247-14-3069
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.69 inches length x 6.14 inches width x 9.21 inches height
Estimated ship weight: 1.29 pounds
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