A parallel descent-like prediction-correction method for structured variational inequalities with three blocks
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@Article{JICS-10-090,
author = {Min Sun and Jing Liu},
title = {A parallel descent-like prediction-correction method for structured variational inequalities with three blocks},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {10},
number = {2},
pages = {090--097},
abstract = {Min Sun1, Jing Liu2
1.School of Mathematics and Statistics, Zaozhuang University ,
Zaozhuang, 277160, China.
2.School of Mathematics and Statistics, Zhejiang University of Finance and Economics,
Hangzhou, 310018, China.
(Received November 08, 2014, accepted March 07, 2015)
This paper proposes a parallel descent-like prediction-correction method(PDPCM) for structured
variational inequalities with three blocks. In the prediction step, the intermediate point
is
produced by solving three low-dimensional variational inequalities in parallel. In the correction step, a
descent direction is first constructed using the iterate and the intermediate point, and then the new iterate is
obtained along this descent direction. Global convergence of the proposed method is proved under mild
assumptions, and we also establish its worse-case},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22551.html}
}
TY - JOUR
T1 - A parallel descent-like prediction-correction method for structured variational inequalities with three blocks
AU - Min Sun and Jing Liu
JO - Journal of Information and Computing Science
VL - 2
SP - 090
EP - 097
PY - 2024
DA - 2024/01
SN - 10
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22551.html
KW - variational
convergence rate.
AB - Min Sun1, Jing Liu2
1.School of Mathematics and Statistics, Zaozhuang University ,
Zaozhuang, 277160, China.
2.School of Mathematics and Statistics, Zhejiang University of Finance and Economics,
Hangzhou, 310018, China.
(Received November 08, 2014, accepted March 07, 2015)
This paper proposes a parallel descent-like prediction-correction method(PDPCM) for structured
variational inequalities with three blocks. In the prediction step, the intermediate point
is
produced by solving three low-dimensional variational inequalities in parallel. In the correction step, a
descent direction is first constructed using the iterate and the intermediate point, and then the new iterate is
obtained along this descent direction. Global convergence of the proposed method is proved under mild
assumptions, and we also establish its worse-case
Min Sun and Jing Liu. (2024). A parallel descent-like prediction-correction method for structured variational inequalities with three blocks.
Journal of Information and Computing Science. 10 (2).
090-097.
doi:
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