期刊
SIAM JOURNAL ON NUMERICAL ANALYSIS
卷 51, 期 6, 页码 3446-3457出版社
SIAM PUBLICATIONS
DOI: 10.1137/120886753
关键词
alternating direction method of multipliers; linear convergence rate; quadratic program; error bound
资金
- Institute of Computational and Theoretical Studies of Hong Kong Baptist University
The Douglas-Rachford alternating direction method of multipliers (ADMM) has been widely used in various areas. The global convergence of ADMM is well known, while research on its convergence rate is still in its infancy. In this paper, we show the local linear convergence rate of ADMM for a quadratic program which includes some important applications of ADMM as special cases.
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