Semi-Convergence of an Alternating-Direction Iterative Method for Singular Saddle Point Problems
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@Article{IJNAMB-5-156,
author = {Yingzhe Fan and Zhangxin Chen},
title = {Semi-Convergence of an Alternating-Direction Iterative Method for Singular Saddle Point Problems},
journal = {International Journal of Numerical Analysis Modeling Series B},
year = {2014},
volume = {5},
number = {1},
pages = {156--161},
abstract = {For large-scale sparse saddle point problems, Peng and Li [12] have recently proposed a new alternating-direction iterative method for solving nonsingular saddle point problems, which is
more competitive (in terms of iteration steps and CPU time) than some classical iterative methods
such as Uzawa-type and HSS (Hermitian skew splitting) methods. In this paper, we further study
this method when it is applied to the solution of singular saddle point problems and prove that it
is semi-convergent under suitable conditions.},
issn = {},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/ijnamb/227.html}
}
TY - JOUR
T1 - Semi-Convergence of an Alternating-Direction Iterative Method for Singular Saddle Point Problems
AU - Yingzhe Fan & Zhangxin Chen
JO - International Journal of Numerical Analysis Modeling Series B
VL - 1
SP - 156
EP - 161
PY - 2014
DA - 2014/05
SN - 5
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/ijnamb/227.html
KW -
AB - For large-scale sparse saddle point problems, Peng and Li [12] have recently proposed a new alternating-direction iterative method for solving nonsingular saddle point problems, which is
more competitive (in terms of iteration steps and CPU time) than some classical iterative methods
such as Uzawa-type and HSS (Hermitian skew splitting) methods. In this paper, we further study
this method when it is applied to the solution of singular saddle point problems and prove that it
is semi-convergent under suitable conditions.
Yingzhe Fan and Zhangxin Chen. (2014). Semi-Convergence of an Alternating-Direction Iterative Method for Singular Saddle Point Problems.
International Journal of Numerical Analysis Modeling Series B. 5 (1).
156-161.
doi:
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