Variable Ordering Structures in Vector Optimization Softcover reprint of the original 1st ed. 2014 Edition
Author(s): Gabriele Eichfelder (Author)
Publisher: Springer
Publication Date: 3 Sept. 2016
Edition: Softcover reprint of the original 1st ed. 2014
Language: English
Print length: 203 pages
ISBN-10: 3662525518
ISBN-13: 9783662525517
Book Description
This book provides an introduction to vector optimization with variable ordering structures, i.e., to optimization problems with a vector-valued objective function where the elements in the objective space are compared based on a variable ordering structure: instead of a partial ordering defined by a convex cone, we see a whole family of convex cones, one attached to each element of the objective space. The book starts by presenting several applications that have recently sparked new interest in these optimization problems, and goes on to discuss fundamentals and important results on a wide range of topics. The theory developed includes various optimality notions, linear and nonlinear scalarization functionals, optimality conditions of Fermat and Lagrange type, existence and duality results. The book closes with a collection of numerical approaches for solving these problems in practice.
Editorial Reviews
Review
“This book is the first comprehensive introduction to the particular topic of vector optimization with variable ordering structures. … The presentation of the book is very detailed and relatively easy for reading. … Graduate students and researchers will find this book useful as a standard reference on vector optimization with variable ordering structures.” (Phan Quốc Khánh, Mathematical Reviews, December, 2015)
From the Back Cover
This book provides an introduction to vector optimization with variable ordering structures, i.e., to optimization problems with a vector-valued objective function where the elements in the objective space are compared based on a variable ordering structure: instead of a partial ordering defined by a convex cone, we see a whole family of convex cones, one attached to each element of the objective space.The book starts by presenting several applications that have recently sparked new interest in these optimization problems, and goes on to discuss fundamentals and important results on a wide range of topics. The theory developed includes various optimality notions, linear and nonlinear scalarization functionals, optimality conditions of Fermat and Lagrange type, existence and duality results. The book closes with a collection of numerical approaches for solving these problems in practice.
About the Author
Gabriele Eichfelder is Professor for mathematical methods of Operations Research at Technical University of Ilmenau, Germany.
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