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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| Hovedforfatter: | |
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| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2012. |
| Serier: | SpringerBriefs in Mathematics
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| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Analyzing Markov chains using Kronecker products, theory and applications, Tužrul Dayar, 2012, New York, NY, Springer, 1 vol. (IX-86 p.), SpringerBriefs in mathematics, 978-1-4614-4189-2 • Analyzing Markov chains using Kronecker products, theory and applications, Tužrul Dayar, 2012, New York, NY, Springer, 1 vol. (IX-86 p.), SpringerBriefs in mathematics, 978-1-4614-4189-2 • Analyzing Markov Chains using Kronecker Products, Texte imprimé, 9781461441915 • Analyzing Markov chains using Kronecker products, theory and applications, Tužrul Dayar, 2012, New York, NY, Springer, 1 vol. (IX-86 p.), SpringerBriefs in mathematics, 978-1-4614-4189-2 • Analyzing Markov Chains using Kronecker Products, Texte imprimé, 9781461441915 |
Indholdsfortegnelse:
- Introduction Background Kronecker representation Preprocessing Block iterative methods for Kronecker products Preconditioned projection methods Multilevel methods Decompositional methods Matrix analytic methods