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Higher Order Multidimensional Slope Limiters with Local Maximum Principles

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arxiv 2407.06437 v1 pith:LZMOTZPR submitted 2024-07-08 math.NA cs.NAphysics.flu-dyn

classification math.NAcs.NAphysics.flu-dyn
keywords maximumprincipleslimitinglocalnumericalcellequationsfinite
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Higher-order numerical methods are used to find accurate numerical solutions to hyperbolic partial differential equations and equations of transport type. Limiting is required to either converge to the correct type of solution or to adhere to physically motivated local maximum principles. Less restrictive limiting procedures are required so as to not severely decrease the accuracy. In this paper, we develop an existing slope limiter framework, to achieve different local boundedness principles for higher-order schemes on unstructured meshes. Quadrature points contributing to numerical fluxes can be limited based on face defined maximum principles, and the resulting cell mean at the next timestep can satisfy a cell mean maximum principle but with less limiting. We demonstrate the practical application of the introduced framework to a second-order finite volume scheme as well as a fourth-order finite volume scheme, in the context of the advection equation.

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  1. Strong Stability Preservation for Stochastic Partial Differential Equations

    math.NA 2024-11 conditional novelty 6.0 of 10

    Stochastic Runge-Kutta methods built from monotone Euler-Maruyama schemes, bounded increments, and SSP time steppers preserve nonlinear stability pathwise with mean-square order 1/2.

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