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Rate of convergence for proximal point algorithms on Hadamard manifolds
Affiliation:1. School of Science, Guangxi University for Nationalities, Nanning, Guangxi 530006, PR China;2. Department of Mathematics, Sichuan University, Chengdu, Sichuan 610064, PR China
Abstract:
In this paper, an estimate of convergence rate concerned with an inexact proximal point algorithm for the singularity of maximal monotone vector fields on Hadamard manifolds is discussed. We introduce a weaker growth condition, which is an extension of that of Luque from Euclidean spaces to Hadamard manifolds. Under the growth condition, we prove that the inexact proximal point algorithm has linear/superlinear convergence rate. The main results presented in this paper generalize and improve some corresponding known results.
Keywords:Inexact proximal point algorithm  Hadamard manifold  Convergence rate  Maximal monotone vector field
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