@Article{IJNAM-2-123,
author = {Zhou , G.Huang , Y. and Feng , C.},
title = {Preconditioned Hybrid Conjugate Gradient Algorithm for P-Laplacian},
journal = {International Journal of Numerical Analysis and Modeling},
year = {2005},
volume = {2},
number = {0},
pages = {123--130},
abstract = {<p style="text-align: justify;">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.</p>},
issn = {2617-8710},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/ijnam/952.html}
}