On Convergence Rates of Linearized Proximal Algorithms for Convex Composite Optimization with Applications
Work
Year: 2016
Type: article
Abstract: In the present paper, we investigate a linearized proximal algorithm (LPA) for solving a convex composite optimization problem. Each iteration of the LPA is a proximal minimization of the convex compo... more
Source: SIAM Journal on Optimization
Authors Yaohua Hu, Chong Li, Xiaoqi Yang
Institutions Shenzhen University, Hong Kong Polytechnic University
Cites: 44
Cited by: 53
Related to: 10
FWCI: 5.02
Citation percentile (by year/subfield): 99.99
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, Research Grants Council, University Grants Committee
Grant IDS 11526144, 11431004, 11571308, PolyU 5292/13E