Vector Variational Inequalities and Vector Optimization: Theory and Applications - Tapa blanda

Acerca del autor

Qamrul Hasan Ansari is Professor of Mathematics at Aligarh Muslim University, India. His research interest lies in applied functional analysis, optimization, convex analysis, nonlinear analysis, fixed point theory in topological vector spaces, abstract economies and game theory. He looks back at 28 years of teaching and research experience and is co-author of two further books and editor/co-editor of seven books.

Jen-Chih Yao is professor at the Center for General Education at China Medical University, Taichung, Taiwan, and at the Department of Applied Mathematics at National Sun Yat-sen University, Kaohsiung, Taiwan. He received the Outstanding Contribution Award of The Mathematical Society of the Republic of China in 2011, and has consecutively been recognized as a Highly Cited Researcher by Thomson Reuters in the years 2011 - 2016. His research interest lies in vector optimization, fixed point theory, variational inequalities, complementarity problems, variational analysis, equilibrium problems, optimal control, and generalized convexity and generalized monotonicity.

De la contraportada

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.