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Strong convergence of the modified hybrid steepest-descent methods for general variational inequalities

机译:一般变分不等式的改进混合最速下降方法的强收敛性

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摘要

In this paper, we consider the general variational inequality GVI(F, g, C), whereF andg are mappings from a Hilbert space into itself andC is the fixed point set of a nonexpansive mapping. We suggest and analyze a new modified hybrid steepest-descent method of type methodu n+1=(1?α+θ n+1)Tu n +αu n ?θ n+1 g (Tu n )?λ n+1 μF(Tu n ),n≥0. for solving the general variational inequalities. The sequencex n is shown to converge in norm to the solutions of the general variational inequality GVI(F, g, C) under some mild conditions. Application to constrained generalized pseudo-inverse is included. Results proved in the paper can be viewed as an refinement and improvement of previously known results.
机译:在本文中,我们考虑了一般的变分不等式GVI(F,g,C),其中F和g是从希尔伯特空间到其自身的映射,C是非膨胀映射的不动点集。我们建议并分析一种新的类型为u n + 1 =(1?α+θn + 1 )Tu n +αun 的改进的混合最速下降方法?θn + 1 g(Tu n )?λn + 1 μF(Tu n ),n≥0。解决一般的变分不等式。结果表明,在某些温和条件下,序列x n 收敛于一般变分不等式GVI(F,g,C)的解。包括对约束广义伪逆的应用。本文证明的结果可以看作是对先前已知结果的改进和改进。

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