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dc.contributor.authorPeddle, A
dc.contributor.authorHaut, T
dc.contributor.authorWingate, B
dc.date.accessioned2019-08-01T10:43:23Z
dc.date.issued2019-11-12
dc.description.abstractA variant of the Parareal method for highly oscillatory systems of PDEs was proposed by Haut and Wingate (2014). In that work they proved superlinear conver- gence of the method in the limit of infinite time scale separation. Their coarse solver features a coordinate transformation and a fast-wave averag- ing method inspired by analysis of multiple scales PDEs and is integrated using an HMM-type method. However, for many physical applications the timescale separation is finite, not infinite. In this paper we prove con- vergence for finite timescale separaration by extending the error bound on the coarse propagator to this case. We show that convergence requires the solution of an optimization problem that involves the averaging win- dow interval, the time step, and the parameters in the problem. We also propose a method for choosing the averaging window relative to the time step based as a function of the finite frequencies inherent in the problem.en_GB
dc.description.sponsorshipUniversity of Exeteren_GB
dc.identifier.citationVol. 41 (6), pp. A3476–A3497en_GB
dc.identifier.doi10.1137/17M1131611
dc.identifier.urihttp://hdl.handle.net/10871/38184
dc.language.isoenen_GB
dc.publisherSociety for Industrial and Applied Mathematicsen_GB
dc.rights© 2019 SIAM. Open access. Published by SIAM under the terms of the Creative Commons 4.0 license
dc.subjectpararealen_GB
dc.subjectParallel in Timeen_GB
dc.subjectWave Averagingen_GB
dc.subjectOscillatory Stiffnessen_GB
dc.subjectTime-scale separationen_GB
dc.titleParareal Convergence for Oscillatory PDEs with Finite Time-scale Separationen_GB
dc.typeArticleen_GB
dc.date.available2019-08-01T10:43:23Z
dc.descriptionThis is the final version. Available on open access from the Society for Industrial and Applied Mathematics via the DOI in this recorden_GB
dc.identifier.eissn1095-7197
dc.identifier.journalSIAM Journal on Scientific Computingen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-07-05
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-07-05
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-08-01T10:40:06Z
refterms.versionFCDAM
refterms.dateFOA2020-01-20T11:21:23Z
refterms.panelBen_GB


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© 2019 SIAM. Open access. Published by SIAM under the terms of the Creative Commons 4.0 license
Except where otherwise noted, this item's licence is described as © 2019 SIAM. Open access. Published by SIAM under the terms of the Creative Commons 4.0 license