A theoretical analysis of season length restrictions in fisheries management.
Xu, Qing, Batabyal, Amitrajeet A. (2002)
Discrete Dynamics in Nature and Society
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Xu, Qing, Batabyal, Amitrajeet A. (2002)
Discrete Dynamics in Nature and Society
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Andrzej Nowak (1998)
Applicationes Mathematicae
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We provide a generalization of Ueno's inequality for n-step transition probabilities of Markov chains in a general state space. Our result is relevant to the study of adaptive control problems and approximation problems in the theory of discrete-time Markov decision processes and stochastic games.
Štěpán Klapka, Petr Mayer (2002)
Applications of Mathematics
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The paper concerns the possibilities for mathematical modelling of safety related systems (equipment oriented on safety). Some mathematical models have been required by the present European Standards for the railway transport. We are interested in the possibility of using Markov’s models to meet these Standards. In the text an example of using that method in the interlocking equipment life cycle is given. An efficient aggregation/disaggregation method for computing some characteristics...
Banik, Pabitra, Mandal, Abhyudy, Rahman, M.Sayedur (2002)
Discrete Dynamics in Nature and Society
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Hunter, Jeffrey J. (1991)
Journal of Applied Mathematics and Stochastic Analysis
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D'Amico, Guglielmo, Janssen, Jacques, Manca, Raimondo (2009)
Journal of Applied Mathematics and Decision Sciences
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Ball, Frank G., Milne, Robin K., Yeo, Geoffrey F. (2007)
Journal of Applied Mathematics and Decision Sciences
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Brianzoni, Serena, Mammana, Cristiana, Michetti, Elisabetta, Zirilli, Francesco (2008)
Discrete Dynamics in Nature and Society
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Marius Losifescu (1979)
Banach Center Publications
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Roberta Jungblut-Hessel, Brigitte Plateau, William J. Stewart, Bernard Ycart (2001)
RAIRO - Operations Research - Recherche Opérationnelle
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In this paper we present a method to perform fast simulation of large markovian systems. This method is based on the use of three concepts: Markov chain uniformization, event-driven dynamics, and modularity. An application of urban traffic simulation is presented to illustrate the performance of our approach.