Stochastic automata networks and near complete decomposability
- Author
- GUSAK, Oleg1 ; DAYAR, Tugrul1 ; FOURNEAU, Jean-Michel2
[1] Department of Computer Engineering, Bilkent University, 06533 Bilkent, Ankara, Turkey
[2] Lab. PRiSM, Université de Versailles, 45 Avenue des États-Unis, 78035 Versailles, France - Source
SIAM journal on matrix analysis and applications. 2002, Vol 23, Num 2, pp 581-599 ; ref : 24 ref
- CODEN
- SJMAEL
- ISSN
- 0895-4798
- Scientific domain
- Computer science; Mathematics
- Publisher
- Society for Industrial and Applied Mathematics, Philadelphia, PA
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Automate stochastique Chaîne Markov Décomposition Processus stochastique Réseau Pétri Décomposabilité presque complète SAN
- Keyword (en)
- Stochastic automaton Markov chain Decomposition Stochastic process Petri net Near complete decomposability Stochastic automaton network
- Keyword (es)
- Autómata estocástico Cadena Markov Descomposición Proceso estocástico Red Petri
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01J Markov processes
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02I Numerical analysis. Scientific computation / 001A02I01 Numerical analysis / 001A02I01E Numerical linear algebra
- Discipline
- Mathematics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 13595276
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1137/S089547980036975X 
https://dx.doi.org/10.1137/S089547980036975X
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