dc.creatorVega C.A.
dc.creatorArias Amaya, Fabián
dc.date.accessioned2020-03-26T16:32:41Z
dc.date.available2020-03-26T16:32:41Z
dc.date.created2020-03-26T16:32:41Z
dc.date.issued2016
dc.identifierInternational Journal of Computational Methods; Vol. 13, Núm. 6
dc.identifier02198762
dc.identifierhttps://hdl.handle.net/20.500.12585/8974
dc.identifier10.1142/S0219876216500377
dc.identifierUniversidad Tecnológica de Bolívar
dc.identifierRepositorio UTB
dc.identifier56423657700
dc.identifier57189266430
dc.description.abstractIn this work, we apply adaptive multiresolution (Harten's approach) characteristic-wise fifth-order Weighted Essentially Non-Oscillatory (WENO) for computing the numerical solution of a polydisperse sedimentation model, namely, the Höfler and Schwarzer model. In comparison to other related works, time discretization is carried out with the ten-stage fourth-order strong stability preserving Runge-Kutta method which is more efficient than the widely used optimal third-order TVD Runge-Kutta method. Numerical results with errors, convergence rates and CPU times are included for four and 11 species. © 2016 World Scientific Publishing Company.
dc.languageeng
dc.publisherWorld Scientific Publishing Co. Pte Ltd
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rightsAtribución-NoComercial 4.0 Internacional
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84967102576&doi=10.1142%2fS0219876216500377&partnerID=40&md5=5e51497960f2d1bb8cf3e76f42051863
dc.titleNumerical Simulations of a Polydisperse Sedimentation Model by Using Spectral WENO Method with Adaptive Multiresolution


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