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
Press/Media
Datasets
Activities
Fellowships, Honors, and Prizes
Search by expertise, name or affiliation
Iterative reweighted minimization methods for lp regularized unconstrained nonlinear programming
Zhaosong Lu
Research output
:
Contribution to journal
›
Article
›
peer-review
105
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Iterative reweighted minimization methods for lp regularized unconstrained nonlinear programming'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Minimization Problem
100%
Iterative Reweighting
100%
Unconstrained Nonlinear Programming
100%
Reweighted Minimization
100%
L1 Method
50%
L0 Minimization
33%
First-order
16%
Stationary Point
16%
Computable
16%
Convergence Analysis
16%
Lipschitz Continuity
16%
Computational Results
16%
Local Minimizer
16%
Unconstrained Minimization Problem
16%
Approximation Parameters
16%
Continuous Approximation
16%
Accumulation Points
16%
Second-order Stationary Point
16%
Mathematics
Minimization Problem
100%
Stationary Point
66%
Convergence Analysis
33%
Local Minimizer
33%
Accumulation Point
33%
Closed Form Solution
33%
Nonzero Entry
33%
Subproblem
33%