Year: 2013
Author: J.-R. C. Cheng, X.-H. Huang, S. Shu, J. Xu, C.-S. Zhang, S. Zhang, Z. Zhou
International Journal of Numerical Analysis and Modeling, Vol. 10 (2013), Iss. 2 : pp. 374–388
Abstract
Efficient methods for solving linear algebraic equations are crucial to creating fast and accurate numerical simulations in many applications. In this paper, an algebraic multigrid (AMG) method, which combines the classical coarsening scheme by [19] with an energy-minimizing interpolation algorithm by [26], is employed and tested for subsurface water simulations. Based on numerical tests using real field data, our results suggest that the energy-minimizing algebraic multigrid method is efficient and, more importantly, very robust.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2013-IJNAM-573
International Journal of Numerical Analysis and Modeling, Vol. 10 (2013), Iss. 2 : pp. 374–388
Published online: 2013-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 15
Keywords: subsurface water simulation multigrid algebraic multigrid energy-minimizing interpolation.