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dc.contributor.authorKrejčová, Milada
dc.contributor.authorHoleček, Miroslav
dc.date.accessioned2019-01-30T09:10:28Z-
dc.date.available2019-01-30T09:10:28Z-
dc.date.issued2018
dc.identifier.citationApplied and Computational Mechanics. 2018, vol. 12, no. 2, p. 147-158.en
dc.identifier.issn1802-680X (Print)
dc.identifier.issn2336-1182 (Online)
dc.identifier.urihttp://hdl.handle.net/11025/30877
dc.description.abstractThe aim of this work is to show the use of statistical physics in biomechanics, especially for modelling a muscle on molecular level. To approximate stochastic (Markovian) evolution in the spatial variable of muscle configuration, we solve the Fokker-Planck equation with the use of the Wang-Peskin-Elston algorithm. The approach is used for numerical simulation in MATLAB of the system time development with different boundary conditions.en
dc.format12 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.relation.ispartofseriesApplied and Computational Mechanicsen
dc.rights© 2018 University of West Bohemia. All rights reserved.en
dc.subjectstatistická fyzikacs
dc.subjectbiomechanikacs
dc.subjectmolekulární motorycs
dc.subjectFokker-Planckova rovnicecs
dc.subjectWang-Peskin-Elstonův algoritmuscs
dc.titleInfluence of boundary conditions on stochastic movement of biological molecular motorsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedstatistical physicsen
dc.subject.translatedbiomechanicsen
dc.subject.translatedmolecular motorsen
dc.subject.translatedFokker-Planck equationen
dc.subject.translatedWang-Peskin-Elston algorithmen
dc.identifier.doi10.24132/acm.2018.461
dc.type.statusPeer-revieweden
Appears in Collections:Články / Articles (KME)
Volume 12, number 2 (2018)
Volume 12, number 2 (2018)

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