@Article{EAJAM-8-463,
author = {Jun Zhang, Chengzhi Deng, Yuying Shi, Shengqian Wang and Yonggui Zhu},
title = {A Fast Linearised Augmented Lagrangian Method for a Mean Curvature Based Model},
journal = {East Asian Journal on Applied Mathematics},
year = {2018},
volume = {8},
number = {3},
pages = {463--476},
abstract = {<p style="text-align: justify;">A simple and efficient algorithm for solving a mean curvature based model is
proposed. It uses linearisation technique and allows to find closed form solutions of all
the subproblems involved. The experimental results show that the method is more efficient
in terms of CPU time than the augmented Lagrangian methods considered earlier.
Numerical examples demonstrate the convergence of the method.</p>},
issn = {2079-7370},
doi = {https://doi.org/10.4208/eajam.010817.160218},
url = {http://global-sci.org/intro/article_detail/eajam/12619.html}
}