Relaxation Deferred Correction Methods and their Applications to Residual Distribution Schemes
R\'emi Abgrall, Elise Le M\'el\'edo, Philipp \"Offner, Davide Torlo

TL;DR
This paper explores the integration of relaxation deferred correction methods with residual distribution schemes, establishing their connection to Runge-Kutta methods and developing entropy conservative/dissipative schemes for hyperbolic problems.
Contribution
It demonstrates the link between DeC schemes and RK methods, and introduces entropy conservative/dissipative RDeC methods within the residual distribution framework.
Findings
DeC schemes are equivalent to convex combinations of explicit Euler steps.
RDeC methods can be constructed to be entropy conservative or dissipative.
The approach improves high-order explicit schemes for hyperbolic problems.
Abstract
In [1] is proposed a simplified DeC method, that, when combined with the residual distribution (RD) framework, allows to construct a high order, explicit FE scheme with continuous approximation avoiding the inversion of the mass matrix for hyperbolic problems. In this paper, we close some open gaps in the context of deferred correction (DeC) and their application within the RD framework. First, we demonstrate the connection between the DeC schemes and the RK methods. With this knowledge, DeC can be rewritten as a convex combination of explicit Euler steps, showing the connection to the strong stability preserving (SSP) framework. Then, we can apply the relaxation approach introduced in [2] and construct entropy conservative/dissipative DeC (RDeC) methods, using the entropy correction function proposed in [3]. [1] R. Abgrall. High order schemes for hyperbolic problems using globally…
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Taxonomy
TopicsComputational Fluid Dynamics and Aerodynamics · Fractional Differential Equations Solutions · Meteorological Phenomena and Simulations
