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Sum-accelerated pseudospectral methods: Finite differences and sech-weighted differences

โœ Scribed by John P. Boyd


Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
636 KB
Volume
116
Category
Article
ISSN
0045-7825

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โœฆ Synopsis


This work continues our previous studies of algorithms for accelerating the convergence of pseudospectral derivative series in order to obtain new differentiation schemes which have the sparsity and low cost of finite differences but the accuracy of spectral methods. We develop a general theoretical framework for difference schemes. Finite differences are close to optimum, but can be bettered by a new scheme we have dubbed 'sech-weighted' differences. Through numerical examaples, we show that sech-weighted differences are effective. In contrast, non-linear accelerations like Pad4 approximants and the Levin u-transform, so popular in other applications, are inferior for approximating derivatives to linear accelerations like finite differences, sech-weighted differences and the Euler method.


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