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Convergence of explicit iterative algorithms for solving a class of variational inequalities

机译:求解一类变分不等式的显式迭代算法的收敛性

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Tian proposed a general iterative algorithm for finding a solution for variational inequalities over the set of fixed points of a nonexpansive mapping on Hilbert spaces and obtained the strong convergence theorem [M. Tian, Nonlinear Analysis, 73 (2010) 689-694]. Zhou et al. proposed a simpler explicit iterative algorithm for finding a solution for variational inequalities over the set of common fixed points of a finite family of nonexpansive mappings on Hilbert spaces and proved the strong convergence [H. Y. Zhou, P. Y. Wang, J. Optim. Theory Appl.09 November 2013]. In this paper, we firstly give a new proof of Tian's convergence theorem, which is much more simpler than Tian's original proof. Then we improve the main convergence result of Zhou et al., more precisely, using a recent new lemma, we prove the strong convergence of this algorithm under more weaker conditions (indeed, one of the original conditions is removed). Based on the two results, a more general algorithm is then proposed for solving a more general class of variational inequalities over the set of common fixed points of a finite family of nonexpansive mappings on Hilbert spaces and its strong convergence is proved. Finally, some extensions to our main results have been obtained. Our results in this paper extend and improve ones of Tian and Zhou et al.
机译:Tian提出了一种通用迭代算法,用于在希尔伯特空间上的非扩张映射的不动点集上找到变分不等式的解,并获得了强收敛定理[M.田,非线性分析,73(2010)689-694]。周等。提出了一种更简单的显式迭代算法,用于在希尔伯特空间上的有限族非扩张映射的一组公共不动点上找到变分不等式的解,并证明了强收敛性[H.周,P.Y。王,J.Optim。理论应用,2013年11月9日]。在本文中,我们首先给出田的收敛定​​理的新证明,它比田的原始证明要简单得多。然后,我们使用最近的新引理改进了Zhou等人的主要收敛结果,我们证明了该算法在更弱的条件下(确实删除了其中一个原始条件)的强收敛性。基于这两个结果,提出了一种更通用的算法,用于求解希尔伯特空间上有限系列非扩张映射的公共不动点集上的一类更通用的变分不等式,并证明了其强收敛性。最后,我们的主要结果得到了一些扩展。本文的研究结果扩展和完善了田和周等人的研究成果。

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