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dc.contributor.authorTambue, Antoine
dc.contributor.authorMukam, Jean Daniel
dc.date.accessioned2021-03-30T12:41:32Z
dc.date.available2021-03-30T12:41:32Z
dc.date.created2020-06-13T14:06:12Z
dc.date.issued2020
dc.identifier.citationTambue, A., & Mukam, J. D. (2020). Optimal error estimate of the finite element approximation of second order semilinear non-autonomous parabolic PDEs. Indagationes Mathematicae, 31(4), 714-727.en_US
dc.identifier.issn0019-3577
dc.identifier.urihttps://hdl.handle.net/11250/2736137
dc.description.abstractIn this work, numerical approximation of the second order non-autonomous semilinear parabolic partial differential equations (PDEs) is investigated using the classical finite element method. To the best of our knowledge, only the linear case is investigated in the literature. Using an approach based on evolution operator depending on two parameters, we obtain the error estimate of the semi-discrete scheme based on finite element method toward the mild solution of semilinear non-autonomous PDEs under polynomial growth and one-sided Lipschitz conditions of the nonlinear term. Our convergence rate is obtained with general non-smooth initial data, and is similar to that of the autonomous case. Such convergence result is very important in numerical analysis. For instance, it is one step forward for numerical approximation of non-autonomous stochastic partial differential equations with the finite element method.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.titleOptimal error estimate of the finite element approximation of second order semilinear non-autonomous parabolic PDEsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2020 The Authors.en_US
dc.source.pagenumber714-727en_US
dc.source.volume31en_US
dc.source.journalIndagationes mathematicaeen_US
dc.source.issue4en_US
dc.identifier.doi10.1016/j.indag.2020.06.008
dc.identifier.cristin1815348
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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