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Decision & Control in Management Science

Essays in Honor of Alain Haurie

  • Book
  • © 2002

Overview

Part of the book series: Advances in Computational Management Science (AICM, volume 4)

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Table of contents (22 chapters)

  1. Dynamical Systems and Optimization

  2. Energy and Environmental Modeling

  3. Finance and Economics

  4. Production and Industrial Systems

Keywords

About this book

Decision & Control in Management Science analyzes emerging decision problems in the management and engineering sciences. It is divided into five parts. The first part explores methodological issues involved in the optimization of deterministic and stochastic dynamical systems. The second part describes approaches to the model energy and environmental systems and draws policy implications related to the mitigation of pollutants. The third part applies quantitative techniques to problems in finance and economics, such as hedging of options, inflation targeting, and equilibrium asset pricing. The fourth part considers a series of problems in production systems. Optimization methods are put forward to provide optimal policies in areas such as inventory management, transfer-line, flow-shop and other industrial problems. The last part covers game theory. Chapters range from theoretical issues to applications in politics and interactions in franchising systems.
Decision & Control in Management Science is an excellent reference covering methodological issues and applications in operations research, optimal control, and dynamic games.

Editors and Affiliations

  • GERAD and HEC-Montréal, Canada

    Georges Zaccour

Bibliographic Information

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