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pro vyhledávání: '"ORHAN, M. CAN"'
Autor:
DAYAR, TUĞRUL, ORHAN, M. CAN
Publikováno v:
Journal of Applied Probability, 2016 Dec 01. 53(4), 1098-1110.
Externí odkaz:
https://www.jstor.org/stable/44806375
Autor:
DAYAR, TUĞRUL, ORHAN, M. CAN
Publikováno v:
Journal of Applied Probability, 2012 Dec 01. 49(4), 1166-1187.
Externí odkaz:
https://www.jstor.org/stable/41713836
Autor:
Dayar, Tugrul, Orhan, M. Can
A stochastic chemical system with multiple types of molecules interacting through reaction channels can be modeled as a continuous-time Markov chain with a countably infinite multidimensional state space. Starting from an initial probability distribu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r39c86a4b39b::31da90a21f57809920868e7e9f1f2f98
https://aperta.ulakbim.gov.tr/record/35473
https://aperta.ulakbim.gov.tr/record/35473
Autor:
Dayar, Tugrul, Orhan, M. Can
The problem of computing the transient probability distribution of countably infinite multidimensional continuous-time Markov chains (CTMCs) arising in systems of stochastic chemical kinetics is addressed by a software tool. Starting from an initial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r39c86a4b39b::c4f858e4eab4b806141372d56918ba7e
https://aperta.ulakbim.gov.tr/record/30937
https://aperta.ulakbim.gov.tr/record/30937
Autor:
Dayar, Tugrul, Orhan, M. Can
Markov chains (MCs) are widely used to model systems which evolve by visiting the states in their state spaces following the available transitions. When such systems are composed of interacting subsystems, they can be mapped to a multi-dimensional MC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r39c86a4b39b::c56736cd35ecaa85a2b2c38132bd30f8
https://aperta.ulakbim.gov.tr/record/56677
https://aperta.ulakbim.gov.tr/record/56677
Autor:
Dayar, Tugrul, Orhan, M. Can
The infinitesimal generator matrix underlying a multidimensional Markov chain can be represented compactly by using sums of Kronecker products of small rectangular matrices. For such compact representations, analysis methods based on vector-Kronecker
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r39c86a4b39b::17e4e4000e6c06cb52d1bba2c3e2da49
https://aperta.ulakbim.gov.tr/record/78889
https://aperta.ulakbim.gov.tr/record/78889
Publikováno v:
Quantitative Evaluation of Systems: 13th International Conference, QEST 2016, Quebec City, QC, Canada, August 23-25, 2016, Proceedings; 2016, p260-276, 17p
Autor:
DAYAR, TUĞRUL, ORHAN, M. CAN
Publikováno v:
SIAM Journal on Scientific Computing; 2015, Vol. 37 Issue 5, pS526-S543, 18p