Dynamic Programming: Models and App
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Dynamic Programming: Models and App : Models and Applications

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Description

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.
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Product details

  • Paperback | 240 pages
  • 164 x 211 x 13mm | 249g
  • New York, United States
  • English
  • black & white illustrations
  • 0486428109
  • 9780486428109
  • 1,221,106

Table of contents

1. Introduction to Sequential Decision Processes.
2. The Prototype Sequential Decision Process.
3. Allocation, Marginal Analysis, and Lagrange Multipliers.
4. Stages, Grids, and Discretizing Control Problems.
5. Production Control and Network Flow.
6. A Markov Decision Model.
7. Inventory Control: (<i>s, S</i>)-Policies.
8. A Discounted Markov Decision Model.
Supplements: 1. Data Structures. 2. Convex Functions.
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