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ABSTRACT

A New Insight into the Differential Quadrature Method in Solving 2-D Elliptic PDEs

by Ying-Hsiu Shen, Chein-Shan Liu

The International Conference on Computational & Experimental Engineering and Sciences 2011, 16(3), 77-78. https://doi.org/10.3970/icces.2011.016.077

Abstract

When the local differential quadrature (LDQ) has been successfully applied to solve two-dimensional problems, the global method of DQ still has a problem by requiring to solve the inversions of ill-posed matrices. Previously, when one uses (n-1)th order polynomial test functions to determine the weighting coefficients with n grid points, the resultant nxn Vandermonde matrix is highly ill-conditioned and its inversion is hard to solve. Now we use (m-1)th order polynomial test functions by n grid points that the size of Vandermonde matrix is mxn, of which m is much less than n. We find that the (m-1)th order polynomial test functions are accurate enough to express the solutions, and the novel method significantly improves the ill-condition of algebraic equations. Such a new DQ as being combined with FTIM (Fictitious Time Integration Method) can solve 2-D elliptic type PDEs successfully. There are some examples tested in this paper and the numerical errors are found to be very small.

Cite This Article

APA Style
Shen, Y., Liu, C. (2011). A new insight into the differential quadrature method in solving 2-D elliptic pdes. The International Conference on Computational & Experimental Engineering and Sciences, 16(3), 77-78. https://doi.org/10.3970/icces.2011.016.077
Vancouver Style
Shen Y, Liu C. A new insight into the differential quadrature method in solving 2-D elliptic pdes. Int Conf Comput Exp Eng Sciences . 2011;16(3):77-78 https://doi.org/10.3970/icces.2011.016.077
IEEE Style
Y. Shen and C. Liu, “A New Insight into the Differential Quadrature Method in Solving 2-D Elliptic PDEs,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 16, no. 3, pp. 77-78, 2011. https://doi.org/10.3970/icces.2011.016.077



cc Copyright © 2011 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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