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dc.contributor.authorNoupelah, Aurelien Junior
dc.contributor.authorTambue, Antoine
dc.contributor.authorWoukeng, Jean Louis
dc.date.accessioned2024-03-22T12:10:37Z
dc.date.available2024-03-22T12:10:37Z
dc.date.created2023-06-13T21:20:15Z
dc.date.issued2023
dc.identifier.citationCommunications in nonlinear science & numerical simulation. 2023, 125 .en_US
dc.identifier.issn1007-5704
dc.identifier.urihttps://hdl.handle.net/11250/3123830
dc.description.abstractThe aim of this work is to provide the first strong convergence result of a numerical approximation of a general time-fractional second order stochastic partial differential equation involving a Caputo derivative in time of order α ∈ ( 1 2 , 1) and driven simultaneously by a multiplicative standard Brownian motion and additive fBm with Hurst parameter H ∈ ( 1 2 , 1), more realistic to model the random effects on transport of particles in medium with thermal memory. We prove the existence and uniqueness results, and perform the spatial discretization using the standard finite element and the temporal discretization based on a generalized exponential time differencing method (GETD). We provide the temporal and spatial convergence proofs for our fully discrete scheme and the result shows that the convergence orders depend on the regularity of the initial data, the power of the fractional derivative, and the Hurst parameter H. Numerical results are provided to illustrate our theoretical results.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleStrong convergence of a fractional exponential integrator scheme for finite element discretization of time-fractional SPDE driven by fractional and standard Brownian motionsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023 The Author(s).en_US
dc.source.pagenumber25en_US
dc.source.volume125en_US
dc.source.journalCommunications in nonlinear science & numerical simulationen_US
dc.identifier.doi10.1016/j.cnsns.2023.107371
dc.identifier.cristin2154286
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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