Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/30448
Appears in Collections: | Computing Science and Mathematics Journal Articles |
Peer Review Status: | Refereed |
Title: | High accuracy trigonometric approximations of the real Bessel functions of the first kind |
Author(s): | Cuyt, Annie Lee, Wen-shin Wu, Min |
Contact Email: | wen-shin.lee@stir.ac.uk |
Issue Date: | Jan-2020 |
Date Deposited: | 10-Nov-2019 |
Citation: | Cuyt A, Lee W & Wu M (2020) High accuracy trigonometric approximations of the real Bessel functions of the first kind. Computational Mathematics and Mathematical Physics, 60 (1), pp. 119-127. https://doi.org/10.1134/S0965542520010078 |
Abstract: | We construct high accuracy trigonometric interpolants from equidistant evaluations of the Bessel functions $J_n(x)$ of the first kind and integer order. The trigonometric models are cosine or sine based depending on whether the Bessel function is even or odd. The main novelty lies in the fact that the frequencies in the trigonometric terms modelling $J_n(x)$ are also computed from the data in a Prony-type approach. Hence the interpolation problem is a nonlinear problem. Some existing compact trigonometric models for the Bessel functions $J_n(x)$ are hereby rediscovered and generalized. |
DOI Link: | 10.1134/S0965542520010078 |
Rights: | This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is a post-peer-review, pre-copyedit version of an article published in Computational Mathematics and Mathematical Physics. The final authenticated version is available online at: https://doi.org/10.1134/S0965542520010078 |
Licence URL(s): | https://storre.stir.ac.uk/STORREEndUserLicence.pdf |
Files in This Item:
File | Description | Size | Format | |
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bessel-ltx20191008.pdf | Fulltext - Accepted Version | 657.31 kB | Adobe PDF | View/Open |
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