论文标题

HALPER型近端算法的定量结果

Quantitative results on a Halpern-type proximal point algorithm

论文作者

Leustean, Laurentiu, Pinto, Pedro

论文摘要

我们采用证明挖掘方法来分析Boikanyo和Moroşanu的结果对Halpern型近端算法的强收敛。结果,我们获得了该结果的定量版本,提供了渐近规则性和亚稳定性的均匀有效速率。

We apply proof mining methods to analyse a result of Boikanyo and Moroşanu on the strong convergence of a Halpern-type proximal point algorithm. As a consequence, we obtain quantitative versions of this result, providing uniform effective rates of asymptotic regularity and metastability.

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