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Strong and Weak Convergence of the Modified Proximal Point Algorithms in Hilbert Space

机译:Hilbert空间中修正近点算法的强弱收敛

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摘要

For a monotone operator , we shall show weak convergence of Rockafellar's proximal point algorithm to some zero of and strong convergence of the perturbed version of Rockafellar's to under some relaxed conditions, where is the metric projection from onto . Moreover, our proof techniques are simpler than some existed results.
机译:对于单调算子,我们将显示Rockafellar的近点算法的弱收敛到0的零,而Rockafellar的扰动版本到的强收敛在某些松弛条件下,其中是从到的度量投影。此外,我们的证明技术比某些现有结果更简单。

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