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Volume 10, Issue 2
A parallel descent-like prediction-correction method for structured variational inequalities with three blocks

Min Sun and Jing Liu

J. Info. Comput. Sci. , 10 (2015), pp. 090-097.

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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
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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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