1.

Record Nr.

UNINA9910298169903321

Autore

Ansari Qamrul Hasan

Titolo

Vector Variational Inequalities and Vector Optimization : Theory and Applications / / by Qamrul Hasan Ansari, Elisabeth Köbis, Jen-Chih Yao

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

3-319-63049-0

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (XIII, 509 p. 60 illus., 1 illus. in color.)

Collana

Vector Optimization, , 1867-8971

Disciplina

515.64

Soggetti

Operations research

Decision making

Mathematical optimization

Calculus of variations

Management science

Operations Research/Decision Theory

Continuous Optimization

Calculus of Variations and Optimal Control; Optimization

Operations Research, Management Science

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references at the end of each chapters and index.

Nota di contenuto

Preliminaries -- Analysis over Cones -- Solution Concepts in Vector Optimization -- Classical Methods in Vector Optimization -- Vector Variational Inequalities -- Linear Scalarization of Vector Variational Inequalities -- Nonsmooth Vector Variational Inequalities -- Generalized Vector Variational Inequalities -- Vector Equilibrium Problems -- Generalized Vector Equilibrium Problems.

Sommario/riassunto

This book presents the mathematical theory of vector variational inequalities and their relations with vector optimization problems. It is the first-ever book to introduce well-posedness and sensitivity analysis for vector equilibrium problems. The first chapter provides basic notations and results from the areas of convex analysis, functional analysis, set-valued analysis and fixed-point theory for set-valued maps, as well as a brief introduction to variational inequalities and



equilibrium problems. Chapter 2 presents an overview of analysis over cones, including continuity and convexity of vector-valued functions. The book then shifts its focus to solution concepts and classical methods in vector optimization. It describes the formulation of vector variational inequalities and their applications to vector optimization, followed by separate chapters on linear scalarization, nonsmooth and generalized vector variational inequalities. Lastly, the book introduces readers to vector equilibrium problems and generalized vector equilibrium problems. Written in an illustrative and reader-friendly way, the book offers a valuable resource for all researchers whose work involves optimization and vector optimization.