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Application of the Generalized Finite Difference Method to improve the approximated solution of pdes

by J.J. Benito1, F. Ure ˇna2, L. Gavete3, B. Alonso3

UNED, Madrid, SPAIN.
UCLM, CR, Castilla-La Mancha, SPAIN.
UPM, Madrid, SPAIN.

Computer Modeling in Engineering & Sciences 2008, 38(1), 39-58. https://doi.org/10.3970/cmes.2008.038.039

Abstract

One of the most universal and effective methods, in wide use today, for solving equations of mathematical physics approximately is the finite difference method (FDM). The Generalized finite difference method (GFDM) is evolved fron classical (FDM), which can be applied over general or irregular clouds of points.
This paper starts by showing the GFDM. In this paper, this meshless method is used for solving second-order partial (pde's) with constant coefficients in any type of domain. The method gives the values of derivatives in the nodes using the direct application of the formulae in differences obtained.
The following points describe an a posteriori error estimator. This serves as a starting point for an h-adaptive method to improve the solution of pde's by selectively adding nodes to the domain.

Cite This Article

APA Style
Benito, J., Ureňa, F., Gavete, L., Alonso, B. (2008). Application of the generalized finite difference method to improve the approximated solution of pdes. Computer Modeling in Engineering & Sciences, 38(1), 39-58. https://doi.org/10.3970/cmes.2008.038.039
Vancouver Style
Benito J, Ureňa F, Gavete L, Alonso B. Application of the generalized finite difference method to improve the approximated solution of pdes. Comput Model Eng Sci. 2008;38(1):39-58 https://doi.org/10.3970/cmes.2008.038.039
IEEE Style
J. Benito, F. Ureňa, L. Gavete, and B. Alonso, “Application of the Generalized Finite Difference Method to improve the approximated solution of pdes,” Comput. Model. Eng. Sci., vol. 38, no. 1, pp. 39-58, 2008. https://doi.org/10.3970/cmes.2008.038.039



cc Copyright © 2008 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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