Preconditioning and Linearly Implicit Time Integration for the Serre-Green-Naghdi Equations
Linwan Feng, David Shirokoff, Wooyoung Choi

TL;DR
This paper introduces a new preconditioning approach and linearly implicit time integration methods for the Serre-Green-Naghdi equations, improving computational efficiency and robustness in simulating complex wave phenomena.
Contribution
A novel constant coefficient preconditioner for the SGN constraint operator and two effective time integration strategies, including a linearly implicit scheme, for solving the SGN equations.
Findings
Preconditioner achieves mesh-independent performance in iterative solvers.
Linearly implicit scheme requires only a single linear solve per time step.
Validation through simulations of solitary waves over complex bathymetry.
Abstract
The treatment of the differential PDE constraint poses a key challenge in computing the numerical solution of the Serre-Green-Naghdi (SGN) equations. In this work, we introduce a constant coefficient preconditioner for the SGN constraint operator and prove rigorous bounds on the preconditioned conditioning number. The conditioning bounds incorporate the effects of bathymetry in two dimensions, are quasi-optimal within a class of constant coefficient operators, highlight fundamental scalings for a loss of conditioning, and ensure mesh independent performance for iterative Krylov methods. Utilizing the conditioning bounds, we devise and test two time integration strategies for solving the full SGN equations. The first class combines classical explicit time integration schemes (4th order Runge-Kutta and 2nd--4th order Adams-Bashforth) with the new preconditioner. The second is a linearly…
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Taxonomy
TopicsMatrix Theory and Algorithms · Advanced Numerical Methods in Computational Mathematics · Electromagnetic Scattering and Analysis
