Strong Stability Preserving Multistep Runge-Kutta Methods
High-order spatial discretizations with strong stability properties (such as monotonicity) are desirable for the solution of hyperbolic PDEs. Methods may be compared in terms of the strong stability preserving (SSP) time-step. We prove an upper bound on the SSP coefficient of explicit multistep Rung...
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Zusammenfassung: | High-order spatial discretizations with strong stability properties (such as
monotonicity) are desirable for the solution of hyperbolic PDEs. Methods may be
compared in terms of the strong stability preserving (SSP) time-step. We prove
an upper bound on the SSP coefficient of explicit multistep Runge--Kutta
methods of order two and above. Order conditions and monotonicity conditions
for such methods are worked out in terms of the method coefficients. Numerical
optimization is used to find optimized explicit methods of up to five steps,
eight stages, and tenth order. These methods are tested on the advection and
Buckley-Leverett equations, and the results for the observed total variation
diminishing and positivity preserving time-step are presented. |
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DOI: | 10.48550/arxiv.1307.8058 |