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Strong weak convergence theorems of implicit hybrid steepest-descent methods for variational inequalities

机译:变分不等式的隐式混合最速下降方法的强弱收敛定理

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摘要

Assume that F is a nonlinear operator on a real Hilbert space H which is strongly monotone and Lipschitzian with constants 77 > 0 and k > 0, respectively on a nonempty closed convex subset C of H. Assume also that C is the intersection of the fixed point sets of a finite number of nonexpansive mappings on H. We develop an implicit hybrid steepest-descent method which generates an iterative sequence {u(n)} from an arbitrary initial point u(0) is an element of H. We characterize the weak convergence of {u(n)} to the unique solution u* of the variational inequality: < F(u*), v - u*> >= 0 for all v is an element of C. Applications to constrained generalized pseudoinverse are included.
机译:假设F是实Hilbert空间H上的非线性算子,它在H的非空封闭凸子集C上分别是常数77> 0和k> 0的强单调和Lipschitzian。 H上有限数量的非膨胀映射的点集。我们开发了一种隐式混合最速下降方法,该方法从任意初始点u(0)生成迭代序列{u(n)}是H的元素。 {u(n)}到变分不等式的唯一解u *的弱收敛:

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