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Volume 2, Issue 3, 31 December 2020, Pages 339-349
Abstract. In recent years, the Douglas-Rachford algorithm received much attention due to its various applications in image recovery, signal processing, and machine learning. In this paper, we consider the Douglas-Rachford algorithm in the setting of Hilbert spaces. We introduce a viscosity Douglas-Rachford algorithm with multi-parameters, and establish its strong convergence under some mild conditions.
How to Cite this Article:
Yamin Wang, Haixia Zhang, Strong convergence of the viscosity Douglas-Rachford algorithm for inclusion problems, Appl. Set-Valued Anal. Optim. 2 (2020), 339-349.