Alternating Minimization
Alternating Minimization is an iterative optimization method that belongs to the class of coordinate descent algorithms, distinguished by its sequential minimization of the objective function with respect to subsets of variables while holding the remaining variables fixed.
295
Publications
24.5K
Citations
778
Authors
373
Institutions
Publications per year
2017–2026
133
Parents
295
A possibilistic fuzzy c-means clustering algorithm
Nikhil R. Pal, Kuhu Pal, James M. Keller et al. · IEEE Transactions on Fuzzy Systems · 2005 · 1.3K citations
Hédy Attouch, Jérôme Bolte, Patrick Redont et al. · Mathematics of Operations Research · 2010 · 1.2K citations · Full text
Low-rank matrix completion using alternating minimization
Prateek Jain, Praneeth Netrapalli, Sujay Sanghavi · 2013 · 878 citations
Fast Alternating Direction Optimization Methods
Tom Goldstein, Brendan O’Donoghue, Simon Setzer et al. · SIAM Journal on Imaging Sciences · 2014 · 811 citations
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778
Hong Kong University of Science and Technology, Hong Kong SAR China
6 publications · 308 citations
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1–5 of 778
373
Nanjing University
Nanjing, China
9 h-index
11 publications
809 citations
The University of Texas at Austin
Austin, United States
8 h-index
16 publications
3K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
7 h-index
16 publications
692 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
21 publications
3K citations
University of Michigan
Ann Arbor, United States
7 h-index
13 publications
944 citations

Sun Yat-sen University
Guangzhou, China
6 h-index
12 publications
290 citations

University of Minnesota
Minneapolis, United States
6 h-index
13 publications
715 citations

Harbin Institute of Technology
Harbin, China
6 h-index
11 publications
920 citations
1–8 of 373
Repository · 26 publications · 898 citations
16
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15 publications · 1K citations
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11 publications · 933 citations
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SIIMS · 8 publications · 3.1K citations
8
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5 publications · 142 citations
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