Hui Zhang
Orcid: 0000-0002-8728-7168Affiliations:
- National University of Defense Technology, Department of Mathematics, Changsha, China
According to our database1,
Hui Zhang
authored at least 25 papers
between 2010 and 2022.
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Bibliography
2022
Extragradient and extrapolation methods with generalized Bregman distances for saddle point problems.
Oper. Res. Lett., 2022
Inertial proximal incremental aggregated gradient method with linear convergence guarantees.
Math. Methods Oper. Res., 2022
Bregman iterative regularization using model functions for nonconvex nonsmooth optimization.
Frontiers Appl. Math. Stat., 2022
2021
Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions.
Math. Oper. Res., 2021
2020
New analysis of linear convergence of gradient-type methods via unifying error bound conditions.
Math. Program., 2020
Global complexity analysis of inexact successive quadratic approximation methods for regularized optimization under mild assumptions.
J. Glob. Optim., 2020
2019
J. Optim. Theory Appl., 2019
2017
Optim. Lett., 2017
The restricted strong convexity revisited: analysis of equivalence to error bound and quadratic growth.
Optim. Lett., 2017
2016
One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations.
Adv. Comput. Math., 2016
2015
Restricted strong convexity and its applications to convergence analysis of gradient-type methods in convex optimization.
Optim. Lett., 2015
J. Optim. Theory Appl., 2015
2014
Proximal linearized iteratively reweighted least squares for a class of nonconvex and nonsmooth problems.
CoRR, 2014
2013
One condition for all: solution uniqueness and robustness of ℓ<sub>1</sub>-synthesis and ℓ<sub>1</sub>-analysis minimizations
CoRR, 2013
CoRR, 2013
2012
IEEE Signal Process. Lett., 2012
J. Math. Imaging Vis., 2012
Necessary and sufficient conditions of solution uniqueness in ℓ<sub>1</sub> minimization
CoRR, 2012
Sci. China Inf. Sci., 2012
2011
Strongly Convex Programming for Exact Matrix Completion and Robust Principal Component Analysis
CoRR, 2011
2010