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...
Call Number: | Libro Electrónico |
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Main Author: | |
Corporate Author: | |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
New York, NY :
Springer New York : Imprint: Springer,
2012.
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Edition: | 1st ed. 2012. |
Series: | SpringerBriefs in Mathematics,
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Subjects: | |
Online Access: | Texto Completo |
Table of Contents:
- Introduction
- Background
- Kronecker representation
- Preprocessing
- Block iterative methods for Kronecker products
- Preconditioned projection methods
- Multilevel methods
- Decompositional methods
- Matrix analytic methods.