A Novel Algorithm with Self-adaptive Technique for Solving Variational Inequalities in Banach Spaces

Author(s):  
Yana Vedel ◽  
Vladimir Semenov ◽  
Sergey Denisov
2022 ◽  
Vol 2022 ◽  
pp. 1-8
Author(s):  
Tzu-Chien Yin ◽  
Nawab Hussain

In this paper, we continue to investigate the convergence analysis of Tseng-type forward-backward-forward algorithms for solving quasimonotone variational inequalities in Hilbert spaces. We use a self-adaptive technique to update the step sizes without prior knowledge of the Lipschitz constant of quasimonotone operators. Furthermore, we weaken the sequential weak continuity of quasimonotone operators to a weaker condition. Under some mild assumptions, we prove that Tseng-type forward-backward-forward algorithm converges weakly to a solution of quasimonotone variational inequalities.


2007 ◽  
Vol 2007 ◽  
pp. 1-7
Author(s):  
Chaofeng Shi

The system of nonlinear variational inequalities (SNVI) is a useful generalization of variational inequalities. Verma (2001) suggested and analyzed an iterative method for solving SNVI. In this paper, we present a new self-adaptive method, whose computation cost is less than that of Verma's method. The convergence of the new method is proved under the same assumptions as Verma's method. Some preliminary computational results are given to illustrate the efficiency of the proposed method.


2009 ◽  
Vol 110 (3) ◽  
pp. 1211-1224 ◽  
Author(s):  
Yonghong Yao ◽  
Muhammad Aslam Noor ◽  
Khalida Inayat Noor ◽  
Yeong-Cheng Liou ◽  
Huma Yaqoob

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