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20182022
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math.OC2022

Linear Convergence of Generalized Proximal Point Algorithms for Monotone Inclusion Problems

Hui Ouyang

We focus on the linear convergence of generalized proximal point algorithms for solving monotone inclusion problems. Under the assumption that the associated monotone operator is m…

math.OC2022

On the Stability of Krasnosel'ski\vı-Mann Iterations

Hui Ouyang

Firstly, we invoke the weak convergence (resp. strong convergence) of translated basic methods involving nonexpansive operators to establish the weak convergence (resp. strong conv…

math.OC2021

Bregman circumcenters: basic theory

Hui Ouyang, Xianfu Wang

Circumcenters play an important role in the design and analysis of accelerating various iterative methods in optimization. In this work, we propose Bregman (pseudo-)circumcenters a…

math.OC2020

Best approximation mappings in Hilbert spaces

Heinz H. Bauschke, Hui Ouyang, Xianfu Wang

The notion of best approximation mapping (BAM) with respect to a closed affine subspace in finite-dimensional space was introduced by Behling, Bello Cruz and Santos to show the lin…

math.OC2020

Projecting onto intersections of halfspaces and hyperplanes

Hui Ouyang

It is well-known that the sequence of iterations of the composition of projections onto closed affine subspaces converges linearly to the projection onto the intersection of the af…

math.OC2019

On the linear convergence of circumcentered isometry methods

Heinz H. Bauschke, Hui Ouyang, Xianfu Wang

The circumcentered Douglas--Rachford method (C--DRM), introduced by Behling, Bello Cruz and Santos, is an acceleration of the well-known Douglas-Rachford method (DRM) for finding t…