Springer Mathematical Programming and Game Theory (Indian Statistical Institute Series)

This book discusses recent developments in mathematical programming and game theory, and the application of several mathematical models to problems in finance, games, economics and graph theory. All contributing authors are eminent researchers in their respective fields, from across the world. This book contains a collection of selected papers presented at the 2017 Symposium on Mathematical Programming and Game Theory at New Delhi during 9–11 January 2017. Researchers, professionals and graduate students will find the book an essential resource for current work in mathematical programming, game theory and their applications in finance, economics and graph theory. The symposium provides a forum for new developments and applications of mathematical programming and game theory as well as an excellent opportunity to disseminate the latest major achievements and to explore new directions and perspectives. From the Back Cover This book discusses recent developments in mathematical programming and game theory, and the application of several mathematical models to problems in finance, games, economics and graph theory. All contributing authors are eminent researchers in their respective fields, from across the world. This book contains a collection of selected papers presented at the 2017 Symposium on Mathematical Programming and Game Theory at New Delhi during 9–11 January 2017. Researchers, professionals and graduate students will find the book an essential resource for current work in mathematical programming, game theory and their applications in finance, economics and graph theory. The symposium provides a forum for new developments and applications of mathematical programming and game theory as well as an excellent opportunity to disseminate the latest major achievements and to explore new directions and perspectives. About the Author S.K. NEOGY is Professor at the Indian Statistical Institute, New Delhi. A Ph.D. from the same institute, his primary area of research is mathematical programming and game theory. He is co-editor of books: Modeling, Computation and Optimization, Mathematical Programming and Game Theory for Decision Making (both from World Scientific). He is has also been a co-editor of the special issue of several journals: Annals of Operations Research, entitled Optimization Models with Economic and Game Theoretic Applications (2016), International Game Theory Review, entitled Operations Research and Game Theory (2001), and Applied Optimization and Game-Theoretic Models, Parts I and II (2015). He has published widely in several international journals of repute like Mathematical Programming, Linear Algebra and its Applications, OR Spektrum, SIAM Journal on Matrix Analysis and Applications, SIAM Journal on Optimization, International Journal of Game Theory, Dynamic Games and Applications, Annals of Operations Research, and Mathematical Analysis and Applications. He is a reviewer of zbMATH and Mathematical Reviews. RAVINDRA B. BAPAT, Ph.D. from the University of Illinois at Chicago, is Professor at the Stat-Math Unit, Indian Statistical Institute, New Delhi. He had his schooling and undergraduate education in Mumbai. He obtained his B.Sc. degree from the University of Mumbai, and M.Stat. from the Indian Statistical Institute, New Delhi. After spending one year in Northern Illinois University in DeKalb, Illinois, and two years at the Department of Statistics, University of Mumbai, Professor Bapat joined the Indian Statistical Institute, New Delhi, in 1983. He held visiting positions at various universities in the U.S.A. and visited several institutes abroad in countries including France, Holland, Canada, China and Taiwan for collaborative research and seminars. The main areas of research interest of Professor Bapat are nonnegative matrices, matrix inequalities, matrices in graph theory and generalized inverses. He has published more than 100 research papers in the