1999
DOI: 10.1006/jcph.1999.6351
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A Fast Spectral Algorithm for Nonlinear Wave Equations with Linear Dispersion

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Cited by 115 publications
(109 citation statements)
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References 15 publications
(23 reference statements)
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“…Now in the uniform-flow case for almost all n holds the inequality ζ 1 π n/κ 1 R. As a result, the number of circular trajectories reduces to only four and two slowly decaying vertical sinusoidal lines (21) and (22) can be observed in the upper and lower half-planes as Im( k) → ±∞, respectively (Figure 7a). These lines smoothly merge with the horizontal surface-mode trajectories given by solution (23) which is valid when Re( k) → ±∞. Estimates of the Im( k) for surface modes based on formulae (23) give an approximate value of ±8.67 which is reasonably close to the computed value of ±9.05 for large Re( k).…”
Section: Soft-wall Solutionssupporting
confidence: 69%
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“…Now in the uniform-flow case for almost all n holds the inequality ζ 1 π n/κ 1 R. As a result, the number of circular trajectories reduces to only four and two slowly decaying vertical sinusoidal lines (21) and (22) can be observed in the upper and lower half-planes as Im( k) → ±∞, respectively (Figure 7a). These lines smoothly merge with the horizontal surface-mode trajectories given by solution (23) which is valid when Re( k) → ±∞. Estimates of the Im( k) for surface modes based on formulae (23) give an approximate value of ±8.67 which is reasonably close to the computed value of ±9.05 for large Re( k).…”
Section: Soft-wall Solutionssupporting
confidence: 69%
“…These lines smoothly merge with the horizontal surface-mode trajectories given by solution (23) which is valid when Re( k) → ±∞. Estimates of the Im( k) for surface modes based on formulae (23) give an approximate value of ±8.67 which is reasonably close to the computed value of ±9.05 for large Re( k). However, already for the mean-flow velocity profile with a very thin near-wall sublayer shown in Figure 7b (a = 500) the eigenvalue pattern features substantial differences from its uniform-flow counterpart.…”
Section: Soft-wall Solutionssupporting
confidence: 69%
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“…However, our choice of time integration may not be the most advantageous match for either the finite-difference or the Chebyshev discretization. The methods presented by Fornberg and Driscoll [15] and by de Frutos and Sanz-Serna [11] might be a better match for the Chebyshev method than the mixed Adams-Bashforth and Crank-Nicolson method we have used. However, better as they may be, we do not expect these methods to change our benchmarking results in a qualitative way.…”
Section: Benchmarkingmentioning
confidence: 96%
“…The domain sizes used are 40L × 40 −1/2 L to 60L × 60 −1/2 L, increasing as Γ approaches zero. The third numerical model, used to solve the KP equation (2.15), is a standard pseudo-spectral model similar to those described by Fornberg & Driscoll (1999) and Johnson & Vilenski (2004). Equation (2.15) is solved on a doubly periodic domain with size either…”
Section: Supercritical Flowmentioning
confidence: 99%