@Article{NMTMA-10-1,
author = {},
title = {Generalized Accelerated Hermitian and Skew-Hermitian Splitting Methods for Saddle-Point Problems},
journal = {Numerical Mathematics: Theory, Methods and Applications},
year = {2017},
volume = {10},
number = {1},
pages = {167--185},
abstract = {<p style="text-align: justify;">We generalize the accelerated Hermitian and skew-Hermitian splitting(AHSS) iteration methods for large sparse saddle-point problems. These methods involve four iteration parameters whose special choices can recover the preconditioned HSS and accelerated HSS iteration methods. Also a new efficient case is introduced and we theoretically prove that this new method converges to the unique solution of the saddle-point problem. Numerical experiments are used to further examine the effectiveness and robustness of iterations.
&nbsp;</p>},
issn = {2079-7338},
doi = {https://doi.org/10.4208/nmtma.2017.m1524},
url = {https://global-sci.com/article/90495/generalized-accelerated-hermitian-and-skew-hermitian-splitting-methods-for-saddle-point-problems}
}