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求解变分不等式问题的惯性次梯度外梯度算法
An Inertial Subgradient Extragradient Algorithm for Solving Variational Inequality Problems
【摘要】 提出一种惯性次梯度外梯度方法来求解变分不等式问题,并且在映射是伪单调和Lipschitz连续但Lipschitz连续常数无需知道的假定下,给出算法的强收敛性结果.最后,给出主要的数值实验结果.
【Abstract】 In this paper,we introduce an inertial subgradient extragradient method for solving variational inequalities in Hilbert spaces,provided that the mapping is pseudo-momotone and L-Lipschitz continuous,where L is unknown. It is proved that the method converges globally to a solution of the variational inequality problem. Preliminary numerical experiments are also given.
【关键词】 惯性次梯度外梯度;
伪单调;
变分不等式;
强收敛;
Hilbert空间;
【Key words】 inertial subgradient extragradient method; pseudo-monotone; variational inequalities; strong convergence; Hilbert spaces;
【Key words】 inertial subgradient extragradient method; pseudo-monotone; variational inequalities; strong convergence; Hilbert spaces;
【基金】 国家自然科学基金(11771350);重庆市自然科学基金基础与前沿研究计划项目(CSTC2016JCYJA0163和CSTC2018JCYJAX0605)
- 【文献出处】 四川师范大学学报(自然科学版) ,Journal of Sichuan Normal University(Natural Science) , 编辑部邮箱 ,2021年03期
- 【分类号】O224
- 【下载频次】97