Year: 2005
Author: G. Zhou, Y. Huang, C. Feng
International Journal of Numerical Analysis and Modeling, Vol. 2 (2005), Online First : pp. 123–130
Abstract
In this paper, a hybrid conjugate gradient algorithm with weighted preconditioner is proposed. The algorithm can efficiently solve the minimizing problem of general function deriving from finite element discretization of the p-Laplacian. The algorithm is efficient, and its convergence rate is mesh-independent. Numerical experiments show that the hybrid conjugate gradient direction of the algorithm is superior to the steepest descent one when $p$ is large.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2005-IJNAM-952
International Journal of Numerical Analysis and Modeling, Vol. 2 (2005), Online First : pp. 123–130
Published online: 2005-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 8