Author	Sethi, Suresh P. author
Title	Optimal Control Theory [electronic resource] : Applications to Management Science and Economics / by Suresh P. Sethi, Gerald L. Thompson
Imprint	Boston, MA : Springer US, 2000
Edition	Second Edition
Connect to	http://dx.doi.org/10.1007/0-387-29903-3
Descript	XVIII, 506 p. online resource

Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as a foundation for the book, which the authors have applied to business management problems developed from their research and classroom instruction. Sethi and Thompson have provided management science and economics communities with a thoroughly revised edition of their classic text on Optimal Control Theory. The new edition has been completely refined with careful attention to the text and graphic material presentation. Chapters cover a range of topics including finance, production and inventory problems, marketing problems, machine maintenance and replacement, problems of optimal consumption of natural resources, and applications of control theory to economics. The book contains new results that were not available when the first edition was published, as well as an expansion of the material on stochastic optimal control theory

What is Optimal Control Theory? -- The Maximum Principle: Continuous Time -- The Maximum Principle: Mixed Inequality Constraints -- The Maximum Principle: General Inequality Constraints -- Applications to Finance -- Applications to Production and Inventory -- Applications to Marketing -- The Maximum Principle: Discrete Time -- Maintenance and Replacement -- Applications to Natural Resources -- Economic Applications -- Differential Games, Distributed Systems, and Impulse Control -- Stochastic Optimal Control

1. Business
2. Production management
3. Operations research
4. Decision making
5. Economics
6. Mathematical
7. System theory
8. Mathematical optimization
9. Probabilities
10. Business and Management
11. Operation Research/Decision Theory
12. Probability Theory and Stochastic Processes
13. Systems Theory
14. Control
15. Optimization
16. Operations Management
17. Quantitative Finance