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Chunming Tang 0002
Person information
- affiliation: Guangxi University, Nanning, China
Other persons with the same name
- Chunming Tang (aka: Chun-Ming Tang) — disambiguation page
- Chunming Tang 0001
— China West Normal University, Nanchong, China
- Chunming Tang 0003
- Chunming Tang 0004 (aka: Chun-Ming Tang 0004) — University of Florida, Gainesville, FL, USA
- Chunming Tang 0005 — Peking University, Beijing, China
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2020 – today
- 2024
- [j21]Jianghua Yin, Chunming Tang, Jinbao Jian, Qiongxuan Huang:
A partial Bregman ADMM with a general relaxation factor for structured nonconvex and nonsmooth optimization. J. Glob. Optim. 89(4): 899-926 (2024) - 2023
- [j20]Chunming Tang, Xianglin Rong, Jinbao Jian
A hybrid Riemannian conjugate gradient method for nonconvex optimization problems. J. Appl. Math. Comput. 69(1): 823-852 (2023) - [j19]Chunming Tang, Wancheng Tan, Shajie Xing, Haiyan Zheng:
A class of spectral conjugate gradient methods for Riemannian optimization. Numer. Algorithms 94(1): 131-147 (2023) - 2022
- [j18]Jinbao Jian, Jianghua Yin
A family of inertial derivative-free projection methods for constrained nonlinear pseudo-monotone equations with applications. Comput. Appl. Math. 41(7) (2022) - [j17]Chunming Tang, Yanni Li, Jinbao Jian
A new restricted memory level bundle method for constrained convex nonsmooth optimization. Optim. Lett. 16(8): 2405-2434 (2022) - 2020
- [j16]Chunming Tang
A Generalized Alternating Linearization Bundle Method for Structured Convex Optimization with Inexact First-Order Oracles. Algorithms 13(4): 91 (2020) - [j15]Chunming Tang, Shuai Liu
A multi-step doubly stabilized bundle method for nonsmooth convex optimization. Appl. Math. Comput. 376: 125154 (2020)
2010 – 2019
- 2015
- [j14]Jin-Bao Jian
A strongly sub-feasible primal-dual quasi interior-point algorithm for nonlinear inequality constrained optimization. Appl. Math. Comput. 266: 560-578 (2015) - [j13]Jin-Bao Jian, Chuan-Hao Guo
A new superlinearly convergent algorithm of combining QP subproblem with system of linear equations for nonlinear optimization. J. Comput. Appl. Math. 273: 88-102 (2015) - 2014
- [j12]Jin-Bao Jian, Qing-Juan Hu, Chun-Ming Tang:
Superlinearly Convergent Norm-Relaxed SQP Method Based on Active Set Identification and New Line Search for Constrained Minimax Problems. J. Optim. Theory Appl. 163(3): 859-883 (2014) - [j11]Chun-Ming Tang, Shuai Liu
A feasible SQP-GS algorithm for nonconvex, nonsmooth constrained optimization. Numer. Algorithms 65(1): 1-22 (2014) - 2012
- [j10]Chun-Ming Tang, Jin-bao Jian:
Strongly sub-feasible direction method for constrained optimization problems with nonsmooth objective functions. Eur. J. Oper. Res. 218(1): 28-37 (2012) - 2011
- [j9]Jianzhong Zhang, Jin-bao Jian, Chun-Ming Tang:
Inverse problems and solution methods for a class of nonlinear complementarity problems. Comput. Optim. Appl. 49(2): 271-297 (2011) - [j8]Chun-Ming Tang, Jin-Bao Jian, Guoyin Li:
A working set SQCQP algorithm with simple nonmonotone penalty parameters. J. Comput. Appl. Math. 236(6): 1382-1398 (2011) - 2010
- [j7]Hai-Yan Zheng, Jin-Bao Jian, Chun-Ming Tang, Ran Quan:
A new norm-relaxed SQP algorithm with global convergence. Appl. Math. Lett. 23(6): 670-675 (2010) - [j6]Jin-Bao Jian, Chun-Ming Tang, Hai-Yan Zheng:
Sequential quadratically constrained quadratic programming norm-relaxed algorithm of strongly sub-feasible directions. Eur. J. Oper. Res. 200(3): 645-657 (2010) - [j5]Guoyin Li
Error bound results for generalized D-gap functions of nonsmooth variational inequality problems. J. Comput. Appl. Math. 233(11): 2795-2806 (2010)
2000 – 2009
- 2007
- [j4]Chun-Ming Tang, Zengxin Wei, Guoyin Li:
A new version of the Liu-Storey conjugate gradient method. Appl. Math. Comput. 189(1): 302-313 (2007) - [j3]Jin-Bao Jian, You-Fang Zeng, Chun-Ming Tang:
A generalized super-memory gradient projection method of strongly sub-feasible directions with strong convergence for nonlinear inequality constrained optimization. Comput. Math. Appl. 54(4): 507-524 (2007) - 2006
- [j2]Jin-Bao Jian, Hai-Yan Zheng, Chun-Ming Tang, Qingjie Hu:
A new superlinearly convergent norm-relaxed method of strongly sub-feasible direction for inequality constrained optimization. Appl. Math. Comput. 182(2): 955-976 (2006) - 2005
- [j1]Jinbao Jian
A new norm-relaxed method of strongly sub-feasible direction for inequality constrained optimization. Appl. Math. Comput. 168(1): 1-28 (2005)
Coauthor Index
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