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Convergence of Hybrid Steepest-Descent Methods with Wn -mapping for Generalized Variational Ineaualities

机译:Wn映射的混合最速下降方法在广义变分不等式中的收敛性

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In this paper,we consider the generalized variational inequality, to obtain its convergence theorem,we introduce iterative algorithm with infinite nonexpansive mapping to find approximate solution of the GVI(F,g,C).Strong convergence theorems are established under some suitable conditions.
机译:本文考虑广义变分不等式,得到其收敛定理,引入无限非扩张映射的迭代算法,求出GVI(F,g,C)的近似解。在一定条件下建立了强收敛定理。

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