2018
DOI: 10.1016/j.apnum.2017.12.001
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Computing eigenvalues and eigenfunctions of the Laplacian for convex polygons

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Cited by 9 publications
(4 citation statements)
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“…By evaluating the approximate global relation, (2.14) and its Schwartz conjugate (which is given by taking the complex conjugate then replacing λ withλ) if the solution is real, at suitably chosen Fourier collocation points, λ i ∈ C, we can construct sufficiently many equations for the unknown constants {a j , b j }. Discussion of how optimal collocation points are chosen for bounded domains can be found in [10,19].…”
Section: (A) Dirichlet To Neumann Mapmentioning
confidence: 99%
“…By evaluating the approximate global relation, (2.14) and its Schwartz conjugate (which is given by taking the complex conjugate then replacing λ withλ) if the solution is real, at suitably chosen Fourier collocation points, λ i ∈ C, we can construct sufficiently many equations for the unknown constants {a j , b j }. Discussion of how optimal collocation points are chosen for bounded domains can be found in [10,19].…”
Section: (A) Dirichlet To Neumann Mapmentioning
confidence: 99%
“…Such a situation is analogous to the coordinate-separability problems in analytically finding Laplace eigenvalues on polygonal domains, for which rectangular, elliptical and equilateral triangular domains are the most prominent examples where simple analytical approaches suffice. Beyond these examples, almost all polygonal domains (including the hexagon) require numerical study [ 76 ].…”
Section: Structured Domainsmentioning
confidence: 99%
“…Such a situation is analogous to the coordinate-separability problems in analytically finding Laplace eigenvalues on polygonal domains, for which rectangular, elliptical, and equilateral triangular domains are the most prominent examples where simple analytical approaches suffice. Beyond these examples, almost all polygonal domains (including the hexagon) require numerical study [33].…”
Section: (C) Multi-domain Modelsmentioning
confidence: 99%