K. Nimsaila

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We analyze the performance of the novel Markov chain stochastic modeling technique for derivation of effective equations for a set of essential variables. This technique is an empirical approach where the right-hand side of the essential variables is modeled by a Markov chain. We demonstrate that the Markov chain modeling approach performs well in a(More)
Multiscale modeling problems have become an active research area in recent years. There are many systems involving a large set of variables and these variables mostly behave in largely different time scales. It is necessary to derive proper effective models when one needs to obtain dynamical models that reproduce statistical properties of essential(More)
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