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arxiv: 1601.03637 · v2 · pith:PKKM2L67new · submitted 2016-01-14 · 🧮 math.NA · cs.NA

Strong-stability-preserving additive linear multistep methods

classification 🧮 math.NA cs.NA
keywords methodslinearmultistepadditivedifferentmonotonicity-preservingoptimalconditions
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The analysis of strong-stability-preserving (SSP) linear multistep methods is extended to semi-discretized problems for which different terms on the right-hand side satisfy different forward Euler (or circle) conditions. Optimal additive and perturbed monotonicity-preserving linear multistep methods are studied in the context of such problems. Optimal perturbed methods attain larger monotonicity-preserving step sizes when the different forward Euler conditions are taken into account. On the other hand, we show that optimal SSP additive methods achieve a monotonicity-preserving step-size restriction no better than that of the corresponding non-additive SSP linear multistep methods.

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