Introduction to the Numerical Solution of Markov Chains / / William J. Stewart.
A cornerstone of applied probability, Markov chains can be used to help model how plants grow, chemicals react, and atoms diffuse--and applications are increasingly being found in such areas as engineering, computer science, economics, and education. To apply the techniques to real problems, however...
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| Superior document: | Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Archive 1927-1999 |
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| Place / Publishing House: | Princeton, NJ : : Princeton University Press, , [2021] ©1995 |
| Year of Publication: | 2021 |
| Language: | English |
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| Physical Description: | 1 online resource (561 p.) :; 41 line drawings 74 tables |
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Table of Contents:
- Frontmatter
- Contents
- Preface and Acknowledgments
- 1. Markov Chains
- 2. Direct Methods
- 3. Iterative Methods
- 4. Projection Methods
- 5. Block Hessenberg Matrices and Solution by Recursion
- 6. Decompositional Methods
- 7. P- Cyclic Markov Chains
- 8. Transient Solutions
- 9. Stochastic Automata Networks
- 10. Software
- Bibliography
- Index