Comparison of five methods of computing the Dirichlet-Neumann operator for the water wave problem
Jon Wilkening, Vishal Vasan

TL;DR
This paper compares five numerical methods for computing the Dirichlet-Neumann operator in water wave problems, analyzing their effectiveness, stability, and limitations through various examples and regularization techniques.
Contribution
It provides a comprehensive comparison of five methods, highlighting their numerical stability issues and proposing regularization strategies for improved accuracy.
Findings
AFM methods can fail with certain band-limited profiles without regularization
TFE and BIM methods are more stable and better suited for numerical computation
Regularization via over-sampling and orthogonalization improves AFM methods' robustness
Abstract
We compare the effectiveness of solving Dirichlet-Neumann problems via the Craig-Sulem (CS) expansion, the Ablowitz-Fokas-Musslimani (AFM) implicit formulation, the dual AFM formulation (AFM*), a boundary integral collocation method (BIM), and the transformed field expansion (TFE) method. The first three methods involve highly ill-conditioned intermediate calculations that we show can be overcome using multiple-precision arithmetic. The latter two methods avoid catastrophic cancellation of digits in intermediate results, and are much better suited to numerical computation. For the Craig-Sulem expansion, we explore the cancellation of terms at each order (up to 150th) for three types of wave profiles, namely band-limited, real-analytic, or smooth. For the AFM and AFM* methods, we present an example in which representing the Dirichlet or Neumann data as a series using the AFM basis…
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Taxonomy
TopicsNumerical methods in engineering · Electromagnetic Scattering and Analysis · Differential Equations and Numerical Methods
