An inertial subgradient-type method for solving single-valued variational inequalities and fixed point problems

An inertial subgradient-type method for solving single-valued variational inequalities and fixed point problems
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求解单值变分不等式和不动点问题的惯性次梯度型方法

DOI:
10.1007/s11075-017-0468-9
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发表时间:
2018-02
影响因子:
2.1
通讯作者:
Chen Shenglan
Chen Shenglan
中科院分区:
数学3区
文献类型:
--
作者:
Zhang Lixin;Fang Changjie;Chen Shenglan

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本文介绍了求一族非扩张映象不动点集的公共元素和单值变分不等式问题解集的惯性次梯度型算法。在映射是单调且Lipschitz连续的假设下,我们证明了由我们的算法生成的序列强收敛于固定集和解集的某些公共元素。此外,还报道了初步的数值实验。
In this paper, we introduce an inertial subgradient-type algorithm to find the common element of fixed point set of a family of nonexpansive mappings and the solution set of the single-valued variational inequality problem. Under the assumption that the mapping is monotone and Lipschitz continuous, we show that the sequence generated by our algorithm converges strongly to some common element of the fixed set and the solution set. Moreover, preliminary numerical experiments are also reported.
DOI: 10.1016/j.amc.2013.12.039
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期刊: Appl. Math. Comput.
影响因子: --
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DOI: 10.1090/pspum/018.1
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影响因子: 17.1
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