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2020 – today
- 2024
[j17]Xianzhen Jiang
, Zefeng Huang, Huihui Yang:
A conjugate gradient projection method with restart procedure for solving constraint equations and image restorations. J. Appl. Math. Comput. 70(3): 2255-2284 (2024)- [j16]Zhaofeng Lan, Jianxun Liu, Xianzhen Jiang:
Convergence analysis of the largest and smallest H-eigenvalues for a class of tensor sequences. J. Appl. Math. Comput. 70(4): 3395-3409 (2024) - [j15]Xianzhen Jiang, Zefeng Huang:
An accelerated relaxed-inertial strategy based CGP algorithm with restart technique for constrained nonlinear pseudo-monotone equations to image de-blurring problems. J. Comput. Appl. Math. 447: 115887 (2024) - [j14]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) - 2023
- [j13]Xianzhen Jiang, Xiaomin Ye, Zefeng Huang, Meixing Liu:
A family of hybrid conjugate gradient method with restart procedure for unconstrained optimizations and image restorations. Comput. Oper. Res. 159: 106341 (2023) - [j12]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) - [j11]Xianzhen Jiang, Huihui Yang, Jianghua Yin, Wei Liao:
A three-term conjugate gradient algorithm with restart procedure to solve image restoration problems. J. Comput. Appl. Math. 424: 115020 (2023) - [j10]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
- [j9]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) - [j8]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) - [j7]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) - 2021
- [j6]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) - [j5]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) - [j4]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
- [j3]Pengjie Liu, Jinbao Jian, Xianzhen Jiang:
A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations. Complex. 2020: 8323865:1-8323865:14 (2020)
2010 – 2019
- 2019
- [j2]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
- [j1]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)
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