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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Afterwards, we prove that, under suitable conditions, the proposed algorithm converges strongly to the metric projection of some point onto the zero set of the involving maximal monotone operator.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, we consider a proximal point algorithm for finding zeros of maximal monotone operators in complete CAT(0) spaces.
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Key Findings & Data:First, a necessary and sufficient condition is presented for the zero set of the operator to be nonempty.
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Conclusion & Impact:Afterwards, we prove that, under suitable conditions, the proposed algorithm converges strongly to the metric projection of some point onto the zero set of the involving maximal monotone operator.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Maximal monotone operator · proximal point algorithm · Hadamard space
Abstract
In this paper, we consider a proximal point algorithm for finding zeros of maximal monotone operators in complete CAT(0) spaces. First, a necessary and sufficient condition is presented for the zero set of the operator to be nonempty. Afterwards, we prove that, under suitable conditions, the proposed algorithm converges strongly to the metric projection of some point onto the zero set of the involving maximal monotone operator.
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Cite This Article
TAHERNİA, M., MORADİ, S., JAFARİ, S. (2020). The strong convergence of a proximal point algorithm in complete CAT(0) metric spaces. Hacettepe Journal of Mathematics and Statistics, Cilt: 49 - Sayı: 1, 399–408. https://ajindex.com/articles/669322