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A framework for the direct evaluation of...

Cavallaro, Massimo...

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A framework for the direct evaluation of large deviations in non-Markovian processes by Cavallaro, Massimo ( Author )

Content Provider	Lemonjar Open Access
Publisher	N.A
Publication Date	17-03-2016
Summary	We propose a general framework to simulate stochastic trajectories with arbitrarily long memory dependence and efficiently evaluate large deviation functions associated to time-extensive observables. This extends the "cloning" procedure of Giardin\'a et al. [Phys. Rev. Lett. 96, 120603 (2006)] to non-Markovian systems. We demonstrate the validity of this method by testing non-Markovian variants of an ion-channel model and the Totally Asymmetric Exclusion Process, recovering results obtainable by other means.
ISBN	-
Item Type	Article
File Type	pdf
File Size	36.88 KB
Language	English
Subjects	-
Unlimited	MYR 0.01
Total read	-
URL	https://arxiv.org/abs/1603.05634

Citation

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AMA 11th EditionReferences

Cavallaro, Massimo. A framework for the direct evaluation of large deviations in non-Markovian processes. N.A. March 17, 2016. Accessed September 20, 2024. https://online.provdatabase.com/cite/22791

APA 7th EditionReferences

Cavallaro, Massimo. (2016). A framework for the direct evaluation of large deviations in non-Markovian processes. N.A. https://online.provdatabase.com/cite/22791

Chicago 17th EditionReferences

Cavallaro, Massimo. A framework for the direct evaluation of large deviations in non-Markovian processes. N.A. 2016. https://online.provdatabase.com/cite/22791

HarvardReferences

Cavallaro, Massimo. (2016). A framework for the direct evaluation of large deviations in non-Markovian processes. [Online]. N.A. Available from: https://online.provdatabase.com/cite/22791. (Accessed 20 September 2024).

Harvard AustraliaReferences

Cavallaro, Massimo, 2016, A framework for the direct evaluation of large deviations in non-Markovian processes, N.A, viewed 20 September 2024, <https://online.provdatabase.com/cite/22791>

MLA 9th EditionWorks Cited

Cavallaro, Massimo. A framework for the direct evaluation of large deviations in non-Markovian processes. N.A, 2016. PROV Database, https://online.provdatabase.com/cite/22791.

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