Modeling of applied problems by stochastic systems and their analysis using the moment equations
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Diblík, Josef
Dzhalladova, Irada
Michalková, Mária
Růžičková, Miroslava
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Referee
Mark
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Springer Nature
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0000-0001-5009-316X Altmetrics
Abstract
The paper deals with systems of linear differential equations with coefficients depending on the Markov process. Equations for particular density and the moment equations for given systems are derived and used in the investigation of solvability of initial problems and stability. Results are illustrated by examples.
The paper deals with systems of linear differential equations with coefficients depending on the Markov process. Equations for particular density and the moment equations for given systems are derived and used in the investigation of solvability of initial problems and stability. Results are illustrated by examples.
The paper deals with systems of linear differential equations with coefficients depending on the Markov process. Equations for particular density and the moment equations for given systems are derived and used in the investigation of solvability of initial problems and stability. Results are illustrated by examples.
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Advances in Difference Equations. 2013, vol. 2013, issue 1, p. 1-12.
https://advancesindifferenceequations.springeropen.com/articles/10.1186/1687-1847-2013-152
https://advancesindifferenceequations.springeropen.com/articles/10.1186/1687-1847-2013-152
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Peer-reviewed
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en
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Except where otherwised noted, this item's license is described as Creative Commons Attribution 2.0 Generic