Analyzing Markov Chains using Kronecker Products Theory and Applications /
Kronecker products are used to define the underlying Markov chain (MC) in various modeling formalisms, including compositional Markovian models, hierarchical Markovian models, and stochastic process algebras. The motivation behind using a Kronecker structured representation rather than a flat one is...
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| Формат: | Электронный ресурс eКнига |
| Язык: | English |
| Опубликовано: |
New York, NY :
Springer New York : Imprint: Springer,
2012.
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| Редактирование: | 1st ed. 2012. |
| Серии: | SpringerBriefs in Mathematics,
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| Online-ссылка: | https://doi.org/10.1007/978-1-4614-4190-8 |
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Оглавление:
- Introduction
- Background
- Kronecker representation
- Preprocessing
- Block iterative methods for Kronecker products
- Preconditioned projection methods
- Multilevel methods
- Decompositional methods
- Matrix analytic methods.