Xianzhen Jiang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Nonlinear Equations

Image Restoration

Convergence Analysis

Top Venues

J. Comput. Appl. Math.

J. Appl. Math. Comput.

Numer. Algorithms

Optim. Methods Softw.

Publications

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) (2024)
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) (2024)
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 (2024)
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) (2024)
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 (2023)
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) (2023)
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 (2023)
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 (2023)
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) (2022)
Jinbao Jian, Pengjie Liu, Xianzhen Jiang, Chen Zhang
Two classes of spectral conjugate gradient methods for unconstrained optimizations. J. Appl. Math. Comput. 68 (6) (2022)
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) (2022)
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 (2021)
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)
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) (2021)
Pengjie Liu, Jinbao Jian, Xianzhen Jiang
A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations. Complex. 2020 (2020)
Xianzhen Jiang, Jinbao Jian
Improved Fletcher-Reeves and Dai-Yuan conjugate gradient methods with the strong Wolfe line search. J. Comput. Appl. Math. 348 (2019)
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) (2017)