Constructive Computation in Stochastic Models with Applications The RG-Factorization /
"Constructive Computation in Stochastic Models with Applications: The RG-Factorizations" provides a unified, constructive and algorithmic framework for numerical computation of many practical stochastic systems. It summarizes recent important advances in computational study of stochastic m...
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Format: | Electronic |
Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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Online Access: | http://dx.doi.org/10.1007/978-3-642-11492-2 |
Table of Contents:
- Part I. RG-Factorizations with Motivating Examples
- 1. Stochastic Models
- 2. Block-Structured Markov Chains
- 3. Markov Chains of GI/G/1 Type
- 4. Tailed Analysis
- 5. Markov Chains on Continuous State Space
- 6. Block-Structured Markov Renewal Processes
- 7. The first passage times
- 8. Queueing Applications
- Part II. Performance Computations and Optimization
- 9. Quasi-Stationary Distributions
- 10. Markov Reward Processes
- 11. Sensitivity Analysis
- 12. Block-Structured Markov Decision Processes
- 13. Markov Chains for Evolutionary Games
- Part III. Appendices.-.