@Article{cmes.2018.04237,
AUTHOR = {Michely Laís de Oliveira, Marcio Augusto Villela Pinto, Simone de Fátima Tomazzoni Gonçalves, Grazielli Vassoler Rutz},
TITLE = {On the Robustness of the xy-Zebra-Gauss-Seidel Smoother on an Anisotropic Diffusion Problem},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {117},
YEAR = {2018},
NUMBER = {2},
PAGES = {251--270},
URL = {http://www.techscience.com/CMES/v117n2/27439},
ISSN = {1526-1506},
ABSTRACT = {Studies of problems involving physical anisotropy are applied in sciences and engineering, for instance, when the thermal conductivity depends on the direction. In this study, the multigrid method was used in order to accelerate the convergence of the iterative methods used to solve this type of problem. The asymptotic convergence factor of the multigrid was determined empirically (computer aided) and also by employing local Fourier analysis (LFA). The mathematical model studied was the 2D anisotropic diffusion equation, in which ε > 0 was the coefficient of a nisotropy. The equation was discretized by the Finite Difference Method (FDM) and Central Differencing Scheme (CDS). Correction Scheme (CS), pointwise Gauss-Seidel smoothers (Lexicographic and Red-Black ordering), and line Gauss-Seidel smoothers (Lexicographic and Zebra ordering) in x and y directions were used for building the multigrid. The best asymptotic convergence factor was obtained by the Gauss-Seidel method in the direction x for 0 < ε << 1 and in the direction y for ε >> 1. In this sense, an xy-zebra-GS smoother was proposed, which proved to be efficient and robust for the different anisotropy coefficients. Moreover, t h e c o nvergence factors calculated empirically and by LFA are in agreement.},
DOI = {10.31614/cmes.2018.04237}
}