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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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Bibliografske podrobnosti
Glavni avtor:	Dayar, Tugrul. (Author, http://id.loc.gov/vocabulary/relators/aut)
Korporativna značnica:	SpringerLink (Online service)
Format:	Elektronski eKnjiga
Jezik:	English
Izdano:	New York, NY : Springer New York : Imprint: Springer, 2012.
Izdaja:	1st ed. 2012.
Serija:	SpringerBriefs in Mathematics,
Teme:	Probabilities. Numerical analysis. Mathematical statistics. Probability Theory and Stochastic Processes. Numerical Analysis. Probability and Statistics in Computer Science.
Online dostop:	https://doi.org/10.1007/978-1-4614-4190-8
Oznake:	Označite Brez oznak, prvi označite!

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