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ORCIDJin-Bao Jian
Jin-bao Jian – Jinbao Jian
Person information
- affiliation: Guangxi University for Nationalities, College of Science, Nanning, China
- affiliation: Yulin Normal University, College of Mathematics and Information Science, Yulin, China
- affiliation: Guangxi University, College of Mathematics and Informatics Science, Nanning, China
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2020 – today
- 2025
[j68]Linfeng Yang
, Qinghong Qin, Shifei Chen, Jinbao Jian:
Fully distributed convex hull pricing based on alternating direction method of multipliers. Comput. Oper. Res. 173: 106823 (2025)- [j67]Miantao Chao, Yongzi Lu, Jinbao Jian, Xiao Xu:
An efficient regularized PR splitting type algorithm for two-block nonconvex linear constrained programs in ℓ1/2 regularized compressed sensing problems. J. Comput. Appl. Math. 453: 116145 (2025) - [j66]Jinbao Jian, Jiachen Jin, Guodong Ma:
An IDFPM-based algorithm without Lipschitz continuity to constrained nonlinear equations for sparse signal and blurred image restoration problems. J. Comput. Appl. Math. 456: 116234 (2025) - [j65]Wenli Liu, Jinbao Jian, Jianghua Yin:
A two-step relaxed-inertial derivative-free projection based algorithm for solving standard nonlinear pseudo-monotone equations and logistic regression problems. J. Comput. Appl. Math. 457: 116327 (2025) - 2024
- [j64]Jianghua Yin, Jinbao Jian, Guodong Ma:
A modified inexact Levenberg-Marquardt method with the descent property for solving nonlinear equations. Comput. Optim. Appl. 87(1): 289-322 (2024) - [j63]Guodong Ma, Liqi Liu, Jinbao Jian, Xihong Yan:
A new hybrid CGPM-based algorithm for constrained nonlinear monotone equations with applications. J. Appl. Math. Comput. 70(1): 103-147 (2024) - [j62]Jinbao Jian, Zhiwen Ren, Jianghua Yin, Dao-Lan Han, Xiaodi Wu:
An effective inertial-relaxed CGPM for nonlinear monotone equations. J. Appl. Math. Comput. 70(1): 689-710 (2024) - [j61]Jinbao Jian, Qiongxuan Huang, Jianghua Yin, Wei Zhang:
Splitting augmented Lagrangian-type algorithms with partial quadratic approximation to solve sparse signal recovery problems. J. Comput. Appl. Math. 449: 115972 (2024) - [j60]Xianzhen Jiang, Ligang Pan, Meixing Liu, Jinbao Jian:
A family of spectral conjugate gradient methods with strong convergence and its applications in image restoration and machine learning. J. Frankl. Inst. 361(13): 107033 (2024) - [j59]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) - [j58]Wenli Liu, Jinbao Jian, Jianghua Yin:
An inertial spectral conjugate gradient projection method for constrained nonlinear pseudo-monotone equations. Numer. Algorithms 97(3): 985-1015 (2024) - 2023
- [j57]Chunming Tang, Xianglin Rong, Jinbao Jian, Shajie Xing:
A hybrid Riemannian conjugate gradient method for nonconvex optimization problems. J. Appl. Math. Comput. 69(1): 823-852 (2023) - [j56]Jianghua Yin, Jinbao Jian, Xianzhen Jiang, Xiaodi Wu:
A family of inertial-relaxed DFPM-based algorithms for solving large-scale monotone nonlinear equations with application to sparse signal restoration. J. Comput. Appl. Math. 419: 114674 (2023) - [j55]Jinbao Jian, Guodong Ma, Pengjie Liu, Jiawei Xu:
Convergence analysis of an improved Bregman-type Peaceman-Rachford splitting algorithm for nonconvex nonseparable linearly constrained optimization problems. J. Comput. Appl. Math. 426: 115086 (2023) - [j54]Guodong Ma, Jiachen Jin, Jinbao Jian, Jianghua Yin, Dao-Lan Han:
A modified inertial three-term conjugate gradient projection method for constrained nonlinear equations with applications in compressed sensing. Numer. Algorithms 92(3): 1621-1653 (2023) - [j53]Xianzhen Jiang, Huihui Yang, Jinbao Jian, Xiaodi Wu:
Two families of hybrid conjugate gradient methods with restart procedures and their applications. Optim. Methods Softw. 38(5): 947-974 (2023) - 2022
- [j52]Jinbao Jian, Jianghua Yin, Chunming Tang, Dao-Lan Han:
A family of inertial derivative-free projection methods for constrained nonlinear pseudo-monotone equations with applications. Comput. Appl. Math. 41(7) (2022) - [j51]Jinbao Jian, Wenrui Chen, Xianzhen Jiang, Pengjie Liu:
A three-term conjugate gradient method with accelerated subspace quadratic optimization. J. Appl. Math. Comput. 68(4): 2407-2433 (2022) - [j50]Jinbao Jian, Pengjie Liu, Xianzhen Jiang, Chen Zhang:
Two classes of spectral conjugate gradient methods for unconstrained optimizations. J. Appl. Math. Comput. 68(6): 4435-4456 (2022) - [j49]Xianzhen Jiang, Wei Liao, Jianghua Yin, Jinbao Jian:
A new family of hybrid three-term conjugate gradient methods with applications in image restoration. Numer. Algorithms 91(1): 161-191 (2022) - [j48]Chunming Tang, Yanni Li, Jinbao Jian, Haiyan Zheng:
A new restricted memory level bundle method for constrained convex nonsmooth optimization. Optim. Lett. 16(8): 2405-2434 (2022) - 2021
- [j47]Xianzhen Jiang, Jinbao Jian, Dan Song, Pengjie Liu:
An improved Polak-Ribière-Polyak conjugate gradient method with an efficient restart direction. Comput. Appl. Math. 40(5) (2021) - [j46]Jinbao Jian, Pengjie Liu, Jianghua Yin, Chen Zhang, Miantao Chao:
A QCQP-based splitting SQP algorithm for two-block nonconvex constrained optimization problems with application. J. Comput. Appl. Math. 390: 113368 (2021) - [j45]Jianghua Yin, Jin-bao Jian, Xianzhen Jiang:
A generalized hybrid CGPM-based algorithm for solving large-scale convex constrained equations with applications to image restoration. J. Comput. Appl. Math. 391: 113423 (2021) - [j44]Jianghua Yin, Jinbao Jian, Xianzhen Jiang, Meixing Liu, Lingzhi Wang:
A hybrid three-term conjugate gradient projection method for constrained nonlinear monotone equations with applications. Numer. Algorithms 88(1): 389-418 (2021) - 2020
- [j43]Chunming Tang, Shuai Liu, Jinbao Jian, Xiaomei Ou:
A multi-step doubly stabilized bundle method for nonsmooth convex optimization. Appl. Math. Comput. 376: 125154 (2020) - [j42]Miantao Chao, Zhao Deng, Jinbao Jian:
Convergence of Linear Bregman ADMM for Nonconvex and Nonsmooth Problems with Nonseparable Structure. Complex. 2020: 6237942:1-6237942:14 (2020) - [j41]Pengjie Liu, Jinbao Jian, Xianzhen Jiang:
A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations. Complex. 2020: 8323865:1-8323865:14 (2020) - [j40]Jinbao Jian, Chen Zhang, Jianghua Yin, Linfeng Yang, Guodong Ma:
Monotone Splitting Sequential Quadratic Optimization Algorithm with Applications in Electric Power Systems. J. Optim. Theory Appl. 186(1): 226-247 (2020)
2010 – 2019
- 2019
- [j39]Xianzhen Jiang, Jinbao Jian:
Improved Fletcher-Reeves and Dai-Yuan conjugate gradient methods with the strong Wolfe line search. J. Comput. Appl. Math. 348: 525-534 (2019) - 2017
- [j38]Jinbao Jian, Qian Chen, Xianzhen Jiang, You-Fang Zeng, Jianghua Yin:
A new spectral conjugate gradient method for large-scale unconstrained optimization. Optim. Methods Softw. 32(3): 503-515 (2017) - [j37]Linfeng Yang, Jinbao Jian, Yan Xu, Zhaoyang Dong, Guodong Ma:
Multiple Perspective-Cuts Outer Approximation Method for Risk-Averse Operational Planning of Regional Energy Service Providers. IEEE Trans. Ind. Informatics 13(5): 2606-2619 (2017) - 2016
- [j36]Haiyan Zheng, Jinbao Jian, Linfeng Yang, Ran Quan:
A deterministic method for the unit commitment problem in power systems. Comput. Oper. Res. 66: 241-247 (2016) - 2015
- [j35]Jin-Bao Jian, Hua-Qin Pan, Chun-Ming Tang, Jian-Ling Li:
A strongly sub-feasible primal-dual quasi interior-point algorithm for nonlinear inequality constrained optimization. Appl. Math. Comput. 266: 560-578 (2015) - [j34]Jian-Ling Li, Renshuai Huang, Jinbao Jian:
A superlinearly convergent QP-free algorithm for mathematical programs with equilibrium constraints. Appl. Math. Comput. 269: 885-903 (2015) - [j33]Jin-Bao Jian, Chuan-Hao Guo, Chun-Ming Tang, Yan-Qin Bai:
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
- [j32]Jin-bao Jian, Jie Li, Hai-Yan Zheng, Jian-Ling Li:
A superlinearly convergent norm-relaxed method of quasi-strongly sub-feasible direction for inequality constrained minimax problems. Appl. Math. Comput. 226: 673-690 (2014) - [j31]Jinbao Jian, Dao-Lan Han, Qing-Juan Xu:
A fast convergent sequential linear equation method for inequality constrained optimization without strict complementarity. Appl. Math. Comput. 236: 93-108 (2014) - [j30]Jin-bao Jian, Qiao-fang Chen, Zong-wen Huang:
A superlinearly convergent SQP method without boundedness assumptions on any of the iterative sequences. J. Comput. Appl. Math. 263: 115-128 (2014) - [j29]Jin-Bao Jian, Xing-De Mo, Li-juan Qiu, Su-ming Yang, Fusheng Wang:
Simple Sequential Quadratically Constrained Quadratic Programming Feasible Algorithm with Active Identification Sets for Constrained Minimax Problems. J. Optim. Theory Appl. 160(1): 158-188 (2014) - [j28]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) - [j27]Chun-Ming Tang, Shuai Liu, Jin-Bao Jian, Jian-Ling Li:
A feasible SQP-GS algorithm for nonconvex, nonsmooth constrained optimization. Numer. Algorithms 65(1): 1-22 (2014) - [j26]Fusheng Wang, Jin-Bao Jian, Chuan-Long Wang:
A model-hybrid approach for unconstrained optimization problems. Numer. Algorithms 66(4): 741-759 (2014) - 2013
- [j25]Wei-xin Cheng, Chong-Chao Huang, Jin-Bao Jian:
An improved infeasible SSLE method for constrained optimization without strict complementarity. Comput. Oper. Res. 40(5): 1506-1515 (2013) - 2012
- [j24]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) - [j23]Qingjie Hu, Yu Chen, Jinbao Jian:
Second-order duality for non-differentiable minimax fractional programming. Int. J. Comput. Math. 89(1): 11-16 (2012) - 2011
- [j22]Xing-De Mo, Jin-bao Jian, Su-ming Yang:
An improved strongly sub-feasible SSLE method for optimization problems and numerical experiments. Appl. Math. Comput. 217(17): 7226-7237 (2011) - [j21]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) - [j20]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) - [j19]Jinbao Jian, Guodong Ma, Chuan-Hao Guo:
A new ɛ-generalized projection method of strongly sub-feasible directions for inequality constrained optimization. J. Syst. Sci. Complex. 24(3): 604-618 (2011) - 2010
- [j18]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) - [j17]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)
2000 – 2009
- 2009
- [j16]Jin-Bao Jian, Xiao-yan Ke, Wei-xin Cheng:
A superlinearly convergent norm-relaxed SQP method of strongly sub-feasible directions for constrained optimization without strict complementarity. Appl. Math. Comput. 214(2): 632-644 (2009) - [j15]Zhibin Zhu, Xiang Cai, Jinbao Jian:
An improved SQP algorithm for solving minimax problems. Appl. Math. Lett. 22(4): 464-469 (2009) - [j14]Jin-Bao Jian, Ran Quan, Wei-xin Cheng:
A feasible QP-free algorithm combining the interior-point method with active set for constrained optimization. Comput. Math. Appl. 58(8): 1520-1533 (2009) - 2008
- [j13]Jin-Bao Jian, Qing-Juan Xu, Dao-Lan Han:
A norm-relaxed method of feasible directions for finely discretized problems from semi-infinite programming. Eur. J. Oper. Res. 186(1): 41-62 (2008) - [c1]Linfeng Yang, Jinbao Jian, Taoshen Li, Zhenrong Zhang:
Parallel algorithm of MCQoS routing based on improved PSRS and binary search. ICAIT 2008: 47:1-47:6 - 2007
- [j12]Jin-Bao Jian, Xue-Lu Zhang, Ran Quan:
A new finitely convergent algorithm for systems of nonlinear inequalities. Appl. Math. Lett. 20(4): 405-411 (2007) - [j11]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
- [j10]Jin-Bao Jian, Qing-Juan Xu, Dao-Lan Han:
A strongly convergent norm-relaxed method of strongly sub-feasible direction for optimization with nonlinear equality and inequality constraints. Appl. Math. Comput. 182(1): 854-870 (2006) - [j9]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
- [j8]Jin-Bao Jian:
A new feasible descent algorithm combining SQP with generalized projection for optimization problems without strict complementarity. Appl. Math. Comput. 162(3): 1065-1081 (2005) - [j7]Jinbao Jian, Haiyan Zheng, Qingjie Hu, Chun-Ming Tang:
A new norm-relaxed method of strongly sub-feasible direction for inequality constrained optimization. Appl. Math. Comput. 168(1): 1-28 (2005) - [j6]Jin-bao Jian:
A Superlinearly Convergent Implicit Smooth SQP Algorithm for Mathematical Programs with Nonlinear Complementarity Constraints. Comput. Optim. Appl. 31(3): 335-361 (2005) - [j5]Jian-Ling Li, Jin-Bao Jian:
A Superlinearly Convergent SSLE Algorithm for Optimization Problems with Linear Complementarity Constraints. J. Glob. Optim. 33(4): 477-510 (2005) - 2004
- [j4]Jin-Bao Jian, Xing-De Mo, Jian-Ling Li:
Explicit and Implicit Continuation Algorithms for Strongly Monotone Variational Inequalities with Box Constraints. J. Glob. Optim. 29(1): 59-83 (2004) - [j3]Jin-bao Jian, Yu-mei Liang:
Finitely Convergent Algorithms of Generalized Gradient Projection for Systems of Nonlinear Inequalities. Neural Parallel Sci. Comput. 12(2): 207-218 (2004) - 2003
- [j2]Zhibin Zhu, Kecun Zhang, Jinbao Jian:
An improved SQP algorithm for inequality constrained optimization. Math. Methods Oper. Res. 58(2): 271-282 (2003)
1990 – 1999
- 1999
- [j1]Jinbao Jian:
A Combined Feasible-Infeasible Point Continuation Method for Strongly Monotone Variational Inequality Problems. J. Glob. Optim. 15(2): 197-211 (1999)
Coauthor Index
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