2018
DOI: 10.3390/e20090700
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Abstract: The time evolution of stochastic reaction networks can be modeled with the chemical master equation of the probability distribution. Alternatively, the numerical problem can be reformulated in terms of probability moment equations. Herein we present a new alternative method for numerically solving the time evolution of stochastic reaction networks. Based on the assumption that the entropy of the reaction network is maximum, Lagrange multipliers are introduced. The proposed method derives equations that model t… Show more

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Cited by 1 publication
(1 citation statement)
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“…Even though the dynamics of the derivative are fairly simple, solving the CME is a hard problem [5][6][7][8][9][10][11][12]. A special case of the CME which is truly unyielding to approximation is when a system is close to its population boundary (for example, close to zero).…”
Section: Introductionmentioning
confidence: 99%
“…Even though the dynamics of the derivative are fairly simple, solving the CME is a hard problem [5][6][7][8][9][10][11][12]. A special case of the CME which is truly unyielding to approximation is when a system is close to its population boundary (for example, close to zero).…”
Section: Introductionmentioning
confidence: 99%