Iterative methods for parallel convex optimization with fixed point constraints

DOI10.23952/jnva.3.2019.2.01zbMath1433.90116OpenAlexW4250090602MaRDI QIDQ5244136

Takayuki Jimba, Kaito Sakurai, Hideaki Iiduka

Publication date: 20 November 2019

Published in: Journal of Nonlinear and Variational Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.23952/jnva.3.2019.2.01

zbMATH Keywords

fixed pointparallel algorithmproximal point algorithmHalpern algorithmKrasnoselskiĭ-Mann algorithm

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Convex programming (90C25)

Related Items (3)

Iterative algorithms for system of variational inclusions in Hadamard manifolds ⋮ A fixed point result for mean nonexpansive mappings ⋮ Convergence of a distributed method for minimizing sum of convex functions with fixed point constraints

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