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dc.contributor.authorSchmitt, AS
dc.contributor.authorSchreiber, M
dc.contributor.authorPeixoto, PSP
dc.contributor.authorSchäfer, MS
dc.date.accessioned2017-11-10T10:39:15Z
dc.date.issued2018-06-06
dc.description.abstractThis work focuses on the Parareal parallelin-time method and its application to the viscous Burgers equation. A crucial component of Parareal is the coarse time stepping scheme, which strongly impacts the convergence of the parallel-in-time method. Three choices of coarse time stepping schemes are investigated in this work: explicit Runge-Kutta, implicit-explicit Runge-Kutta, and implicit Runge-Kutta with semiLagrangian advection. Manufactured solutions are used to conduct studies, which provide insight into the viability of each considered time stepping method for the coarse time step of Parareal. One of our main findings is the advantageous convergence behavior of the semi-Lagrangian scheme for advective flows.en_GB
dc.description.sponsorshipSchmitt: The work of this author is supported by the ’Excellence Initiative’ of the German Federal and State Governments and the Graduate School of Computational Engineering at Technische Universit¨at Darmstadt Peixoto: Acknowledges the Sao Paulo Research Foundation (FAPESP) under the grant number 2016/18445-7 and the National Science and Technology Development Council (CNPq) under grant number 441328/2014-8en_GB
dc.identifier.citationPublished online 06 June 2018.en_GB
dc.identifier.doi10.1007/s00791-018-0294-1
dc.identifier.urihttp://hdl.handle.net/10871/30261
dc.language.isoenen_GB
dc.publisherSpringer Verlagen_GB
dc.rights.embargoreasonUnder embargo until 06 June 2019 in compliance with publisher policy.en_GB
dc.rights© Springer-Verlag GmbH Germany, part of Springer Nature 2018.
dc.subjectPararealen_GB
dc.subjectBurgers’ equationen_GB
dc.subjectSemiLagrangianen_GB
dc.subjectRunge-Kuttaen_GB
dc.subjectparallel-in-timeen_GB
dc.titleA numerical study of a semi-Lagrangian Parareal method applied to the viscous Burgers equationen_GB
dc.typeArticleen_GB
dc.descriptionThis is the author accepted manuscript. The final version is available from Springer via the DOI in this record.en_GB
dc.identifier.journalComputing and Visualization in Scienceen_GB


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