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pro vyhledávání: '"Dayar, Tugrul"'
Arguing about the equilibrium distribution of continuous-time Markov chains can be vital for showing properties about the underlying systems. For example in biological systems, bistability of a chemical reaction network can hint at its function as a
Externí odkaz:
http://arxiv.org/abs/1007.3130
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
Publikováno v:
Advances in Applied Probability, 2011 Dec 01. 43(4), 1005-1026.
Externí odkaz:
https://www.jstor.org/stable/23208036
Autor:
Buchholz, Peter, Dayar, Tuǧrul
Publikováno v:
In Linear Algebra and Its Applications 2004 386:83-109
Publikováno v:
In Performance Evaluation 2003 53(1):43-69
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
COMPARISON OF PARTITIONING TECHNIQUES FOR TWO-LEVEL ITERATIVE SOLVERS ON LARGE,SPARSE MARKOV CHAINS.
Autor:
Dayar, Tugrul1 tugrul@cs.bilkent.edu.tr, Stewart, William J.2 billy@csc.ncsu.edu
Publikováno v:
SIAM Journal on Scientific Computing. Sep2000, Vol. 21 Issue 5, p1691-1705. 15p.
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