Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/62429
Type: | Journal article |
Title: | Gaussian basis functions for solving differential equations |
Author: | Allison, A. Abbott, D. Pearce, C. |
Citation: | Australia and New Zealand Industrial and Applied Mathematics (ANZIAM) Journal, 2009; 51(SUPPL.):C747-C767 |
Publisher: | Australian Mathematical Society |
Issue Date: | 2009 |
ISSN: | 1446-1811 1446-8735 |
Statement of Responsibility: | A. Allison, D. Abbott and C.E.M. Pearce |
Abstract: | We derive approximate numerical solutions for an ordinary differential equation common in engineering using two different types of basis functions, polynomial and Gaussian, and a maximum discrepancy error measure. We compare speed and accuracy of the two solutions. The basic finding for our example is that while Gaussian basis functions can be used, the computational effort is greater than that required for a polynomial basis given the same degree of error. |
Description: | Proceedings of the Engineering Mathematics and Applications Conference held in Adelaide, Australia, 6-9 December 2010. |
Rights: | Copyright Austral. Mathematical Society 2010 |
Published version: | http://anziamj.austms.org.au/ojs/index.php/ANZIAMJ/article/view/2630 |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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