Synopses & Reviews
DYNAMIC OPTIMIZATION AND DIFFERENTIAL GAMES has been written to address the increasing number of Operations Research and Management Science problems (that is, applications) that involve the explicit consideration of time and of gaming among multiple agents. It is a book that will be used both as a textbook and as a reference and guide to engineers, operation researchers, applied mathematicians and social scientists whose work involves the theoretical aspects of dynamic optimization and differential games. Included throughout the text are detailed explanations of several original dynamic and game-theoretic mathematical models, which are of particular relevance in today's technologically-driven-global economy: revenue management, supply chain management, electric power systems, urban freight systems, dynamic congestion pricing, dynamic traffic assignment, electronic commerce and the Internet. In addition, there will be some more traditional applications with useful pedagogical content included in Chapter 1. The book combines an emphasis on deterministic models and methods along with an introduction to stochastic optimal control and stochastic differential games. And most important, the book covers both theory and applications. It develops the key results of deterministic, continuous time, optimal control theory from both the classical calculus of variations perspectives and the more modern approach of infinite dimensional mathematical programming. Infinite dimensional mathematical programming provides greater utility for solving continuous-time-differential-game problems.
Review
From the reviews: "This book contains an introductory chapter and nine other chapters, divided into three parts. ... The intended readers are graduate students and researchers interested in modeling and computing in continuous time. ... I strongly recommend this book to readers interested in dynamic optimization in continuous time. I found it excellent on many counts, especially its detailed modeling analysis and its computational aspects. ... used as a textbook for a one-semester course on mathematical programming and optimal control." (Georges Zaccour, SIAM Review, Vol. 54 (2), 2012) "This book is devoted to optimal control and differential game problems with emphasis on economic applications such as revenue management, oligopoly pricing, production planning, supply chain management, and dynamic network problems. The author describes (differential) variational inequalities as basic tool for solving these problems. ... The book presentation is given at a student's level, contains many significant examples and exercises, so that it can be used as a textbook." (Igor V. Konnov, Zentralblatt MATH, Vol. 1207, 2011)
Synopsis
Dynamic Optimization and Differential Games has been written to address the increasing number of Operations Research and Management Science problems that involve the explicit consideration of time and of gaming among multiple agents. With end-of-chapter exercises throughout, it is a book that can be used both as a reference and as a textbook. It will be useful as a guide to engineers, operations researchers, applied mathematicians and social scientists whose work involves both the theoretical and computational aspects of dynamic optimization and differential games. Included throughout the text are detailed explanations of several original dynamic and game-theoretic mathematical models which are of particular relevance in today's technologically-driven-global economy: revenue management, oligopoly pricing, production planning, supply chain management, dynamic traffic assignment and dynamic congestion pricing. The book emphasizes deterministic theory, computational tools and applications associated with the study of dynamic optimization and competition in continuous time. It develops the key results of deterministic, continuous time, optimal control theory from both the classical calculus of variations perspective and the more modern approach of infinite dimensional mathematical programming. These results are then generalized for the analysis of differential variational inequalities arising in dynamic game theory for open loop environments. Algorithms covered include steepest descent in Hilbert space, gradient projection in Hilbert space, fixed point methods, and gap function methods.
Synopsis
This book has been written to address the increasing number of Operations Research and Management Science problems (that is, applications) that involve the explicit consideration of time and of gaming among multiple agents. It is a book that will be used both as a textbook and as a reference and guide by those whose work involves the theoretical aspects of dynamic optimization and differential games.
Table of Contents
Preface.- Introduction.- Nonlinear programming and discrete time optimal control.- The classical calculus of variations and optimal control in continuous time.- Infinite dimensional mathematical programming.- Static Cournot-Nash-Bertrand games and finite dimensional variational inequalities.- Cournot-Nash-Bertrand differential games.- Stochastic differential variational inequalities and stochastic dynamic games.- Dynamic supply, production and distribution planning.- Dynamic traffic assignment.- Dynamic competitive revenue management in competition.- Index.