Introduction to sequential decision processes covers use of dynamic programming in studying models of resource allocation, methods for approximating solutions of control problems in continuous time, production control, decision-making in the face of an uncertain future, and inventory control models. A prior course in operations research is prerequisite. 1982 edition. Unabridged republication of the edition published by Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1982.
Here's a sample of other books in this Dover category
Mathematical Programming by Steven Vajda This classic by a well-known expert explores both theory and applications. It focuses on linear programming, in addition to other programming topics, and features numerous worked-out examples and problems. 1961 edition.
Multiobjective Decision Making: Theory and Methodology by Vira Chankong, Yacov Y Haimes This first-rate text concerns the theory and methodology of systems engineering as they relate to the evaluation of alternative courses of action and associated decision making. 1983 edition.
Dynamic Probabilistic Systems, Volume II: Semi-Markov and Decision Processes by Ronald A. Howard An integrated work in two volumes, this text teaches readers to formulate, analyze, and evaluate Markov models. The first volume treats the basic process; the second, semi-Markov and decision processes. 1971 edition.
