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dc.contributor.authorKetcheson, David I.
dc.contributor.authorLoczi, Lajos
dc.contributor.authorJangabylova, Aliya
dc.contributor.authorKusmanov, Adil
dc.date.accessioned2017-01-02T08:42:36Z
dc.date.available2017-01-02T08:42:36Z
dc.date.issued2016-12-10
dc.identifier.citationKetcheson DI, Lóczi L, Jangabylova A, Kusmanov A (2016) Dense Output for Strong Stability Preserving Runge–Kutta Methods. Journal of Scientific Computing. Available: http://dx.doi.org/10.1007/s10915-016-0331-5.
dc.identifier.issn0885-7474
dc.identifier.issn1573-7691
dc.identifier.doi10.1007/s10915-016-0331-5
dc.identifier.urihttp://hdl.handle.net/10754/622186
dc.description.abstractWe investigate dense output formulae (also known as continuous extensions) for strong stability preserving (SSP) Runge–Kutta methods. We require that the dense output formula also possess the SSP property, ideally under the same step-size restriction as the method itself. A general recipe for first-order SSP dense output formulae for SSP methods is given, and second-order dense output formulae for several optimal SSP methods are developed. It is shown that SSP dense output formulae of order three and higher do not exist, and that in any method possessing a second-order SSP dense output, the coefficient matrix A has a zero row.
dc.description.sponsorshipAdil Kusmanov: This work was supported by the King Abdullah University of Science and Technology (KAUST), 4700 Thuwal, 23955-6900, Saudi Arabia. The second author was also supported by the Department of Numerical Analysis, Eötvös Loránd University, and the Department of Differential Equations, Budapest University of Technology and Economics, Hungary. The last two authors were supported by the KAUST Visiting Student Research Program.
dc.publisherSpringer Nature
dc.relation.urlhttp://link.springer.com/article/10.1007%2Fs10915-016-0331-5
dc.relation.urlhttps://arxiv.org/abs/1605.02429
dc.subjectRunge-Kutta methods
dc.subjectSSP methods
dc.subjectDense output
dc.subjectContinuous extension
dc.titleDense Output for Strong Stability Preserving Runge–Kutta Methods
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.identifier.journalJournal of Scientific Computing
dc.contributor.institutionNazarbayev University, Astana, Kazakhstan
dc.identifier.arxivid1605.02429
kaust.personKetcheson, David I.
kaust.personLoczi, Lajos
dc.date.published-online2016-12-10
dc.date.published-print2017-06


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