A primal-dual fixed point algorithm for multi-block convex minimization
A primal-dual fixed point algorithm for multi-block convex minimization
复制标题
多块凸最小化的原对偶不动点算法
DOI:
10.4208/jcm.1612-m2016-0536
复制
发表时间:
2016-02
影响因子:
0.9
通讯作者:
Zhang Xiaoqun
中科院分区:
文献类型:
--
作者:
Chen Peijun;Huang Jianguo;Zhang Xiaoqun
We extend a primal-dual fixed point algorithm (PDFP) proposed in [5] to solve two kinds of separable multi-block minimization problems, arising in signal processing and imaging science. This work shows the flexibility of applying PDFP algorithm to multi-block problems and illustrate how practical and fully decoupled schemes can be derived, especially for parallel implementation of large scale problems. The connections and comparisons to the alternating direction method of multiplier (ADMM) are also present. We demonstrate how different algorithms can be obtained by splitting the problems in different ways through the classic example of sparsity regularized least square model with constraint. In particular, for a class of linearly constrained problems, which are of great interest in the context of multi-block ADMM, can be solved by PDFP with a guarantee of convergence. Finally, some experiments are provided to illustrate the performance of several schemes derived by the PDFP algorithm.
登录
查看更多内容
影响因子:
--
作者:
Chen Peijun;Huang Jianguo;Zhang Xiaoqun
通讯作者:
Zhang Xiaoqun
DOI:
--
发表时间:
2011
期刊:
--
影响因子:
--
作者:
B. He;Xiaoming Yuan
通讯作者:
B. He;Xiaoming Yuan
DOI:
10.4310/amsa.2016.v1.n1.a2
发表时间:
2016-01
期刊:
ArXiv
影响因子:
--
作者:
Zhimin Peng;Tianyu Wu;Yangyang Xu;Ming Yan;W. Yin
通讯作者:
Zhimin Peng;Tianyu Wu;Yangyang Xu;Ming Yan;W. Yin
DOI:
10.1163/2352-0248_edn_a0826000
发表时间:
1998
期刊:
--
影响因子:
--
作者:
F. Larmande;J. Ponssard
通讯作者:
F. Larmande;J. Ponssard
DOI:
10.1051/cocv/2010003
发表时间:
2011-01-01
影响因子:
1.4
作者:
Clason, Christian;Kunisch, Karl
通讯作者:
Kunisch, Karl