Mathematical Programming and Game Theory

  • S.K. Neogy
  • Ravindra B. Bapat
  • Dipti Dubey

Part of the Indian Statistical Institute Series book series (INSIS)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Kenji Kashiwabara, Tadashi Sakuma
    Pages 67-86
  3. Tiru Arthanari, Kun Qian
    Pages 87-114
  4. Sushmita Gupta, Sanjukta Roy, Saket Saurabh, Meirav Zehavi
    Pages 141-157
  5. Mamoru Kaneko
    Pages 159-177
  6. Reinoud Joosten, Robin Meijboom
    Pages 205-226

About this book


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.


Game Theory Linear and Nonlinear Programming Global Optimization Nonsmooth Optimization Complementarity and Variational Inequalities Combinatorial Optimization Optimization in Finance and Economics Multi-Objective Optimization Game Theoretical Applications Logistics Traffic and Transportation Optimization Problems in Graph Theory

Editors and affiliations

  • S.K. Neogy
    • 1
  • Ravindra B. Bapat
    • 2
  • Dipti Dubey
    • 3
  1. 1.Indian Statistical InstituteNew DelhiIndia
  2. 2.Indian Statistical InstituteNew DelhiIndia
  3. 3.Indian Statistical InstituteNew DelhiIndia

Bibliographic information