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...

Full description

Bibliographic Details
Main Author: Li, Quan-Lin. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Subjects:
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.-.