
Vector Optimization and Monotone Operators via Convex Duality
Recent Advances
Sorin-Mihai Grad(Author)
Springer (Publisher)
Published on 17. September 2014
Book
Hardback
XVII, 269 pages
978-3-319-08899-0 (ISBN)
Description
This book investigates several duality approaches for vector optimization problems, while also comparing them. Special attention is paid to duality for linear vector optimization problems, for which a vector dual that avoids the shortcomings of the classical ones is proposed. Moreover, the book addresses different efficiency concepts for vector optimization problems. Among the problems that appear when the framework is generalized by considering set-valued functions, an increasing interest is generated by those involving monotone operators, especially now that new methods for approaching them by means of convex analysis have been developed. Following this path, the book provides several results on different properties of sums of monotone operators.
More details
Series
Edition
2015 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
XVII, 269 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 22 mm
Weight
600 gr
ISBN-13
978-3-319-08899-0 (9783319088990)
DOI
10.1007/978-3-319-08900-3
Schweitzer Classification
Other editions
Additional editions

Book
08/2016
Springer
€128.39
Shipment within 10-15 days

E-Book
09/2014
1st Edition
Springer
€117.69
Available for download
Person
Sorin-Mihai Grad is currently working within the Faculty of Mathematics of Chemnitz University of Technology, Germany, where he achieved his PhD in 2006 and his Habilitation in 2014. He is co-author of the book "Duality in Vector Optimization" (Springer, 2009).
Content
Introduction and preliminaries.- Duality for scalar optimization problems.- Minimality concepts for sets.- Vector duality via scalarization for vector optimization problems.- General Wolfe and Mond-Weir duality.- Vector duality for linear and semidefinite vector optimization problems.- Monotone operators approached via convex Analysis.