Chong Li
Affiliations:- Zhejiang University, School of Mathematical Sciences, Hangzhou, China
According to our database1,
Chong Li
authored at least 58 papers
between 2002 and 2023.
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Bibliography
2023
Riemannian linearized proximal algorithms for nonnegative inverse eigenvalue problem.
Numer. Algorithms, December, 2023
An extended Ulm-like method for inverse singular value problems with multiple and/or zero singular values.
J. Comput. Appl. Math., November, 2023
Convergence Rate of Inexact Proximal Point Algorithms for Operator with Hölder Metric Subregularity.
SIAM J. Optim., September, 2023
Convergence of Inexact Steepest Descent Algorithm for Multiobjective Optimizations on Riemannian Manifolds Without Curvature Constraints.
J. Optim. Theory Appl., July, 2023
Sparse estimation via lower-order penalty optimization methods in high-dimensional linear regression.
J. Glob. Optim., February, 2023
2021
Convergence Analysis of Gradient Algorithms on Riemannian Manifolds without Curvature Constraints and Application to Riemannian Mass.
SIAM J. Optim., 2021
The FM and BCQ Qualifications for Inequality Systems of Convex Functions in Normed Linear Spaces.
SIAM J. Optim., 2021
Linear convergence of inexact descent method and inexact proximal gradient algorithms for lower-order regularization problems.
J. Glob. Optim., 2021
2020
Comput. Stat. Data Anal., 2020
2019
Extended Newton Methods for Multiobjective Optimization: Majorizing Function Technique and Convergence Analysis.
SIAM J. Optim., 2019
Sparse estimation via 𝓁<sub>q</sub> optimization method in high-dimensional linear regression.
CoRR, 2019
Reliable heritability estimation using sparse regularization in ultrahigh dimensional genome-wide association studies.
BMC Bioinform., 2019
2018
SIAM J. Optim., 2018
SIAM J. Optim., 2018
Convergence of a Ulm-like method for square inverse singular value problems with multiple and zero singular values.
Numer. Algorithms, 2018
2017
2016
Convergence Analysis of Newton-Like Methods for Inverse Eigenvalue Problems with Multiple Eigenvalues.
SIAM J. Numer. Anal., 2016
Proximal Point Algorithms on Hadamard Manifolds: Linear Convergence and Finite Termination.
SIAM J. Optim., 2016
On Convergence Rates of Linearized Proximal Algorithms for Convex Composite Optimization with Applications.
SIAM J. Optim., 2016
J. Optim. Theory Appl., 2016
J. Comput. Appl. Math., 2016
Frontiers Neuroinformatics, 2016
2015
Linear Convergence of Subgradient Algorithm for Convex Feasibility on Riemannian Manifolds.
SIAM J. Optim., 2015
J. Optim. Theory Appl., 2015
Subgradient Projection Algorithms for Convex Feasibility on Riemannian Manifolds with Lower Bounded Curvatures.
J. Optim. Theory Appl., 2015
J. Glob. Optim., 2015
2014
The Dual Normal CHIP and Linear Regularity for Infinite Systems of Convex Sets in Banach Spaces.
SIAM J. Optim., 2014
J. Math. Imaging Vis., 2014
2013
Quasi-Slater and Farkas-Minkowski Qualifications for Semi-infinite Programming with Applications.
SIAM J. Optim., 2013
2012
Variational Inequalities for Set-Valued Vector Fields on Riemannian Manifolds: Convexity of the Solution Set and the Proximal Point Algorithm.
SIAM J. Control. Optim., 2012
J. Glob. Optim., 2012
2011
SIAM J. Optim., 2011
Adaptive pixon represented segmentation (APRS) for 3D MR brain images based on mean shift and Markov random fields.
Pattern Recognit. Lett., 2011
J. Approx. Theory, 2011
2010
J. Glob. Optim., 2010
Convergence behavior of Gauss-Newton's method and extensions of the Smale point estimate theory.
J. Complex., 2010
The Bregman distance, approximate compactness and convexity of Chebyshev sets in Banach spaces.
J. Approx. Theory, 2010
J. Approx. Theory, 2010
2009
Stable and Total Fenchel Duality for Convex Optimization Problems in Locally Convex Spaces.
SIAM J. Optim., 2009
2008
Constraint Qualifications for Convex Inequality Systems with Applications in Constrained Optimization.
SIAM J. Optim., 2008
Newton's method for sections on Riemannian manifolds: Generalized covariant alpha-theory.
J. Complex., 2008
Appl. Math. Lett., 2008
2007
The SECQ, Linear Regularity, and the Strong CHIP for an Infinite System of Closed Convex Sets in Normed Linear Spaces.
SIAM J. Optim., 2007
Majorizing Functions and Convergence of the Gauss--Newton Method for Convex Composite Optimization.
SIAM J. Optim., 2007
2006
Uniqueness of the singular points of vector fields on Riemannian manifolds under the <i>gamma</i>-condition.
J. Complex., 2006
2005
On Constraint Qualification for an Infinite System of Convex Inequalities in a Banach Space.
SIAM J. Optim., 2005
SIAM J. Optim., 2005
J. Approx. Theory, 2005
Strong uniqueness of the restricted Chebyshev center with respect to an <i>RS</i>-set in a Banach space.
J. Approx. Theory, 2005
2003
Constraint Qualification, the Strong CHIP, and Best Approximation with Convex Constraints in Banach Spaces.
SIAM J. Optim., 2003
J. Approx. Theory, 2003
On best uniform restricted range approximation in complex-valued continuous function spaces.
J. Approx. Theory, 2003
2002
On Best Approximation by Nonconvex Sets and Perturbation of Nonconvex Inequality Systems in Hilbert Spaces.
SIAM J. Optim., 2002
Nonlinearly Constrained Best Approximation in Hilbert Spaces: The Strong CHIP and the Basic Constraint Qualification.
SIAM J. Optim., 2002