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    Dense Output for Strong Stability Preserving Runge–Kutta Methods

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    Type
    Article
    Authors
    Ketcheson, David I. cc
    Loczi, Lajos cc
    Jangabylova, Aliya
    Kusmanov, Adil
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Applied Mathematics and Computational Science Program
    Date
    2016-12-10
    Online Publication Date
    2016-12-10
    Print Publication Date
    2017-06
    Permanent link to this record
    http://hdl.handle.net/10754/622186
    
    Metadata
    Show full item record
    Abstract
    We 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.
    Citation
    Ketcheson 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.
    Sponsors
    Adil 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.
    Publisher
    Springer Nature
    Journal
    Journal of Scientific Computing
    DOI
    10.1007/s10915-016-0331-5
    arXiv
    1605.02429
    Additional Links
    http://link.springer.com/article/10.1007%2Fs10915-016-0331-5
    https://arxiv.org/abs/1605.02429
    ae974a485f413a2113503eed53cd6c53
    10.1007/s10915-016-0331-5
    Scopus Count
    Collections
    Articles; Applied Mathematics and Computational Science Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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