Uniqueness of the singular points of vector fields on Riemannian manifolds under the gamma-condition. - Jin-hua Wang 001; Chong Li 002 (J. Complex., 2006)

Newton's method for sections on Riemannian manifolds: Generalized covariant alpha-theory. - Chong Li 002; Jinhua Wang 001 (J. Complex., 2008)

Smale's point estimate theory for Newton's method on Lie groups. - Chong Li 002; Jin-Hua Wang 001; Jean-Pierre Dedieu (J. Complex., 2009)

Convergence behavior of Gauss-Newton's method and extensions of the Smale point estimate theory. - Chong Li 002; Nuchun Hu; Jinhua Wang 001 (J. Complex., 2010)

Subdifferentials of perturbed distance functions in Banach spaces. - Jin-Hua Wang 001; Chong Li 002; Hong-Kun Xu (J. Glob. Optim., 2010)

Weak Sharp Minima on Riemannian Manifolds. - Chong Li 002; Boris S. Mordukhovich; Jinhua Wang 001; Jen-Chih Yao (SIAM J. Optim., 2011)

Gauss-Newton method for convex composite optimizations on Riemannian manifolds. - Jin-Hua Wang 001; Jen-Chih Yao; Chong Li 002 (J. Glob. Optim., 2012)

Convergence analysis of inexact proximal point algorithms on Hadamard manifolds. - Jinhua Wang 001; Chong Li 002; Genaro López-Acedo; Jen-Chih Yao (J. Glob. Optim., 2015)

Finite Termination of Inexact Proximal Point Algorithms in Hilbert Spaces. - Jinhua Wang 001; Chong Li 002; Jen-Chih Yao (J. Optim. Theory Appl., 2015)

Linear Convergence of Subgradient Algorithm for Convex Feasibility on Riemannian Manifolds. - Xiangmei Wang; Chong Li 002; Jinhua Wang 001; Jen-Chih Yao (SIAM J. Optim., 2015)

Local convergence of Newton's method on the Heisenberg group. - Béchir Dali; Chong Li 002; Jinhua Wang 001 (J. Comput. Appl. Math., 2016)

Proximal Point Algorithms on Hadamard Manifolds: Linear Convergence and Finite Termination. - Jinhua Wang 001; Chong Li 002; Genaro López-Acedo; Jen-Chih Yao (SIAM J. Optim., 2016)

Modified inexact Levenberg-Marquardt methods for solving nonlinear least squares problems. - Jifeng Bao; Carisa Kwok Wai Yu; Jinhua Wang 001; Yaohua Hu; Jen-Chih Yao (Comput. Optim. Appl., 2019)

Extended Newton Methods for Multiobjective Optimization: Majorizing Function Technique and Convergence Analysis. - Jinhua Wang 001; Yaohua Hu; Carisa Kwok Wai Yu; Chong Li 002; Xiaoqi Yang 001 (SIAM J. Optim., 2019)

Sparse recovery via nonconvex regularized M-estimators over ℓq-balls. - Xin Li 061; Dongya Wu; Chong Li 002; Jinhua Wang 001; Jen-Chih Yao (Comput. Stat. Data Anal., 2020)

Convergence Analysis of Gradient Algorithms on Riemannian Manifolds without Curvature Constraints and Application to Riemannian Mass. - Jinhua Wang 001; Xiangmei Wang; Chong Li 002; Jen-Chih Yao (SIAM J. Optim., 2021)

Convergence of Inexact Steepest Descent Algorithm for Multiobjective Optimizations on Riemannian Manifolds Without Curvature Constraints. - Xiangmei Wang; Jinhua Wang 001; Chong Li 002 (J. Optim. Theory Appl., 2023)

Convergence Rate of Inexact Proximal Point Algorithms for Operator with Hölder Metric Subregularity. - Jinhua Wang 001; Chong Li 002; K. F. Ng (SIAM J. Optim., 2023)

An extended Ulm-like method for inverse singular value problems with multiple and/or zero singular values. - Jinhua Wang 001; Weiping Shen; Chong Li 002; Xiao-Qing Jin (J. Comput. Appl. Math., 2023)

Riemannian linearized proximal algorithms for nonnegative inverse eigenvalue problem. - Sangho Kum; Chong Li 002; Jinhua Wang 001; Jen-Chih Yao; Linglingzhi Zhu (Numer. Algorithms, 2023)