Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Search by expertise, name or affiliation
Penalty decomposition methods for rank minimization
Zhaosong Lu
, Yong Zhang
, Xiaorui Li
Research output
:
Contribution to journal
›
Article
›
peer-review
49
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Penalty decomposition methods for rank minimization'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Rank Minimization
100%
Penalty Decomposition Method
100%
General-rank
50%
Matrix Completion
25%
First-order Optimality Condition
25%
Computational Results
25%
Block Coordinate Descent
25%
Matrix Problem
25%
Solution Quality
25%
Accumulation Points
25%
Special Rank
25%
Low-rank Correlation Matrix
25%
Mathematics
Decomposition Method
100%
Minimization Problem
100%
Correlation Matrix
33%
Objective Function
33%
Accumulation Point
33%
Complete Matrix
33%
Spearman's Coefficient
33%
Closed Form Solution
33%
Subproblem
33%
Optimality Condition
33%