Decision and control in uncertain resource systems
Decision and control in uncertain resource systems
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Orlando
Academic Press
1985, 1985
|
| Series: | Mathematics in science and engineering
|
| Subjects: | |
| Online Access: | |
| Collection: | Elsevier eBook collection Mathematics - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references and index
- 7.1 The Operational Formulation Cotton in California7.2 Models for Pest Population Dynamics; 7.3 Models with Population Genetics; 7.4 The Single-Season Economic Optimization Problem; 7.5 The Multiseason Economic Optimization Problem; Chapter 8. Introduction to Numerial Techniques; 8.1 Newton's Method; 8.2 Sequence and Series Acceleration Techniques; 8.3 Solving Stochastic Differential Equations Numerically; 8.4 Some Numerical Considerations for DPEs; References; Index
- Appendix A: A Review of The Calculus of Variations and Optimal Control TheoryChapter 4. Exploration for and Optimal Utilization of Exhaustible Resources; 4.1 Exploration for Exhaustible Resources; 4.2 Utilization of an Uncertain Resource without Learning; 4.3 Utilization of an Uncertain Resource with Learning; 4.4 Optimal Exploration for and Exploitation of an Exhaustible Resource; 4.5 Price Dynamics and Markets for Exhaustible Resources; Chapter 5. Exploration, Observation, and Assessment of Renewable Resource Stocks; 5.1 Introduction to the Theory of Line Transects
- 5.2 Surveys of Fish Stocks5.3 Model Identification for Aggregating Fisheries; 5.4 Search Effort and Estimates of Stock Size; Chapter 6. Management of Fluctuating Renewable Resource Stocks; 6.1 The Allocation of Fishing Rtghts; 6.2 Harvesting a Randomly Fluctuating Population; 6.3 Dealing with Parameter Uncertainty in Managed Populations; 6.4 Price Dynamics in Renewable Resource Markets; 6.5 Optimal Trade-off Between Economic Return and the Risk of Undesirable Events; Chapter 7. Management of Mixed Renewable and Exhaustible Resource Systems: Agricultural Pest Control
- 2.4 The Dynamic Programming Equation with Parameter Uncertainty2.5 Finding Optimal Stochastic Controls Directly; 2.6 Control with Probability Criteria; 2.7 Myopic Bayes Stochastic Problems and Nonlinear Programming; 2.8 Values, Strategies, and Policy Iteration; Chapter 3. Key Results in the Deterministic Theory of Resource Exploitation; 3.1 Classification of Resource Problems and the Concept of Utility; 3.2 Exploitation of and Exhaustible Resource: Optimal Extraction Policy and Price Dynamics; 3.3 Exploitation of a Renewable Resource; Optimal Harvest Rates and Price Dynamics
- Front Cover; Decision and Control in Uncertain Resource Systems; Copyright Page; Contents; Preface; Acknowledgments; Introduction; Chapter 1. Discrete and Continuous Stochastic Processes; 1.1 Probability; 1.2 The Brownian Motion Process W(t); 1.3 The Jump Process p(t); 1.4 Mean and Variance Propagation in Stochastic Differential Equations; 1.5 Kalman Filtering and its Extensions; Chapter 2. Stochastic Control and Dynamic Programming; 2.1 The Principle of Optimality; 2.2 The Dynamic Programming Equation for A W(t)-Drive Process; 2.3 Dynamic Programming Equation for a p (t)-Driven Process