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Li-Ping Pang 0001
Person information
- affiliation: Dalian University of Technology, Department of Applied Mathematics, China
Other persons with the same name
- Liping Pang — disambiguation page
- Liping Pang 0002 — Beijing University of Aeronautics and Astronautics, School of Aviation Science and Engineering, China
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Journal Articles
- 2023
- [j41]Na Xu, Fan-Yun Meng, Li-Ping Pang:
The Augmented Lagrangian Method for Mathematical Programs with Vertical Complementarity Constraints Based on Inexact Scholtes Regularization. Asia Pac. J. Oper. Res. 40(6): 2250042:1-2250042:31 (2023) - [j40]Xiaoliang Wang, Yuzhu Tian, Liping Pang:
A class of three-term derivative-free methods for large-scale nonlinear monotone system of equations and applications to image restoration problems. J. Appl. Math. Comput. 69(1): 1269-1296 (2023) - [j39]Xiaoliang Wang, Li-Ping Pang, Xiantao Xiao:
A proximal bundle method-based algorithm with penalty strategy and inexact oracles for constrained nonsmooth nonconvex optimization. J. Comput. Appl. Math. 422: 114949 (2023) - [j38]Li-Ping Pang, Fan-Yun Meng, Jian-Song Yang:
A class of infeasible proximal bundle methods for nonsmooth nonconvex multi-objective optimization problems. J. Glob. Optim. 85(4): 891-915 (2023) - [j37]Xiaoliang Wang, Gonglin Yuan, Liping Pang:
A class of new three-term descent conjugate gradient algorithms for large-scale unconstrained optimization and applications to image restoration problems. Numer. Algorithms 93(3): 949-970 (2023) - [j36]Li-Ping Pang, Ming-Kun Zhang, Xiantao Xiao:
A stochastic approximation method for convex programming with many semidefinite constraints. Optim. Methods Softw. 38(1): 34-58 (2023) - [j35]Naihua Ji, Huiqian Dong, Fan-Yun Meng, Liping Pang:
Semantic Segmentation and Depth Estimation Based on Residual Attention Mechanism. Sensors 23(17): 7466 (2023) - 2022
- [j34]Xiaoliang Wang, Liping Pang, Qi Wu:
A Proximal Bundle Method with Exact Penalty Technique and Bundle Modification Strategy for Nonconvex Nonsmooth Constrained Optimization. Asia Pac. J. Oper. Res. 39(2): 2150015:1-2150015:43 (2022) - [j33]Dan Li, Shuang Chen, Li-Ping Pang:
Proximal Gradient-Type Algorithms for a Class of Bilevel Programming Problems. Asia Pac. J. Oper. Res. 39(5): 2150039:1-2150039:17 (2022) - [j32]Li-Ping Pang, Qi Wu:
A feasible proximal bundle algorithm with convexification for nonsmooth, nonconvex semi-infinite programming. Numer. Algorithms 90(1): 387-422 (2022) - 2020
- [j31]Li-Ping Pang, Qi Wu, Jin-He Wang, Qiong Wu:
A discretization algorithm for nonsmooth convex semi-infinite programming problems based on bundle methods. Comput. Optim. Appl. 76(1): 125-153 (2020) - [j30]Jian Lv, Ze-Hao Xiao, Li-Ping Pang:
An incremental bundle method for portfolio selection problem under second-order stochastic dominance. Numer. Algorithms 85(2): 653-681 (2020) - 2019
- [j29]Qiong Wu, Jin-He Wang, Hong-Wei Zhang, Shuang Wang, Li-Ping Pang:
Nonsmooth Optimization Method for H∞ Output Feedback Control. Asia Pac. J. Oper. Res. 36(3): 1950015:1-1950015:23 (2019) - [j28]Jian Lv, Li-Ping Pang, Na Xu, Ze-Hao Xiao:
An infeasible bundle method for nonconvex constrained optimization with application to semi-infinite programming problems. Numer. Algorithms 80(2): 397-427 (2019) - 2018
- [j27]Na Xu, Xide Zhu, Li-Ping Pang, Jian Lv:
Improved Convergence Properties of the Relaxation Schemes of Kadrani et al. and Kanzow and Schwartz for MPEC. Asia Pac. J. Oper. Res. 35(1): 1850008:1-1850008:20 (2018) - [j26]Jian Lv, Li-Ping Pang, Fan-Yun Meng:
A proximal bundle method for constrained nonsmooth nonconvex optimization with inexact information. J. Glob. Optim. 70(3): 517-549 (2018) - [j25]Ming Huang, Yue Lu, Li-Ping Pang, Zun-Quan Xia:
Correction to: A space decomposition scheme for maximum eigenvalue functions and its applications. Math. Methods Oper. Res. 87(2): 309 (2018) - 2017
- [j24]Jin-He Wang, Fan-Yun Meng, Li-Ping Pang, Xing-Hua Hao:
An adaptive fixed-point proximity algorithm for solving total variation denoising models. Inf. Sci. 402: 69-81 (2017) - [j23]Fan-Yun Meng, Li-Ping Pang, Jian Lv, Jin-He Wang:
An approximate bundle method for solving nonsmooth equilibrium problems. J. Glob. Optim. 68(3): 537-562 (2017) - [j22]Ming Huang, Yue Lu, Li-Ping Pang, Zun-Quan Xia:
A space decomposition scheme for maximum eigenvalue functions and its applications. Math. Methods Oper. Res. 85(3): 453-490 (2017) - 2016
- [j21]Li-Ping Pang, Jian Lv, Jin-He Wang:
Constrained incremental bundle method with partial inexact oracle for nonsmooth convex semi-infinite programming problems. Comput. Optim. Appl. 64(2): 433-465 (2016) - [j20]Shuang Chen, Li-Ping Pang, Xuefei Ma, Dan Li:
SAA method based on modified Newton method for stochastic variational inequality with second-order cone constraints and application in portfolio optimization. Math. Methods Oper. Res. 84(1): 129-154 (2016) - 2015
- [j19]Li-Ping Pang, Shuang Chen, Jin-He Wang:
Risk management in portfolio applications of non-convex stochastic programming. Appl. Math. Comput. 258: 565-575 (2015) - [j18]Jian Lv, Li-Ping Pang, Jin-He Wang:
Special backtracking proximal bundle method for nonconvex maximum eigenvalue optimization. Appl. Math. Comput. 265: 635-651 (2015) - 2014
- [j17]Ming Huang, Li-Ping Pang, Zun-Quan Xia:
The space decomposition theory for a class of eigenvalue optimizations. Comput. Optim. Appl. 58(2): 423-454 (2014) - [j16]Yang Yang, Li-Ping Pang, Xuefei Ma, Jie Shen:
Constrained Nonconvex Nonsmooth Optimization via Proximal Bundle Method. J. Optim. Theory Appl. 163(3): 900-925 (2014) - [j15]Dan Li, Li-Ping Pang, Shuang Chen:
A proximal alternating linearization method for nonconvex optimization problems. Optim. Methods Softw. 29(4): 771-785 (2014) - 2013
- [j14]Fang-Fang Guo, Li-Ping Pang, Dan Meng, Zun-Quan Xia:
An algorithm for solving optimization problems with fuzzy relational inequality constraints. Inf. Sci. 252: 20-31 (2013) - 2012
- [j13]Yuan Lu, Li-Ping Pang, Shen Jie, Xi-Jun Liang:
A Decomposition Algorithm for Convex Nondifferentiable Minimization with Errors. J. Appl. Math. 2012: 215160:1-215160:15 (2012) - [j12]Jie Shen, Li-Ping Pang:
A Proximal Analytic Center Cutting Plane Algorithm for Solving Variational Inequality Problems. J. Appl. Math. 2012: 503242:1-503242:10 (2012) - [j11]Shuang Chen, Li-Ping Pang, Fang-Fang Guo, Zun-Quan Xia:
Stochastic methods based on Newton method to the stochastic variational inequality problem with constraint conditions. Math. Comput. Model. 55(3-4): 779-784 (2012) - 2010
- [j10]Si-Jia Jiang, Li-Ping Pang, Jie Shen:
Existence of solutions of generalized vector variational-type inequalities with set-valued mappings. Comput. Math. Appl. 59(4): 1453-1461 (2010) - [j9]Yuan Lu, Li-Ping Pang, Fang-Fang Guo, Zun-Quan Xia:
A superlinear space decomposition algorithm for constrained nonsmooth convex program. J. Comput. Appl. Math. 234(1): 224-232 (2010) - [j8]Yuan Lu, Li-Ping Pang, Xi-Jun Liang, Zun-Quan Xia:
An approximate decomposition algorithm for convex minimization. J. Comput. Appl. Math. 234(3): 658-666 (2010) - 2008
- [j7]Jie Shen, Li-Ping Pang:
A bundle-type auxiliary problem method for solving generalized variational-like inequalities. Comput. Math. Appl. 55(12): 2993-2998 (2008) - [j6]Li-Ping Pang, Ming-Zheng Wang, Zun-Quan Xia:
First-order optimality conditions for two classes of generalized nonsmooth semi-infinite optimization. Comput. Math. Appl. 56(5): 1457-1464 (2008) - [j5]Jie Shen, Li-Ping Pang:
An approximate bundle-type auxiliary problem method for solving generalized variational inequalities. Math. Comput. Model. 48(5-6): 769-775 (2008) - 2007
- [j4]Feng Shan, Li-Ping Pang, Zun-Quan Xia:
An approximate U-Lagrangian and algorithm to UV decomposition. Appl. Math. Comput. 184(2): 924-930 (2007) - [j3]Li-Ping Pang, Jie Shen, Wei Wang:
Two parallel distribution algorithms for convex constrained minimization problems. Appl. Math. Comput. 186(2): 1762-1771 (2007) - [j2]Li-Ping Pang, Jie Shen, He-Shan Song:
A modified predictor-corrector algorithm for solving nonconvex generalized variational inequality. Comput. Math. Appl. 54(3): 319-325 (2007) - [j1]Li-Ping Pang, Emilio Spedicato, Zun-Quan Xia, Wei Wang:
A method for solving the system of linear equations and linear inequalities. Math. Comput. Model. 46(5-6): 823-836 (2007)
Coauthor Index
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