Xianzhen Jiang

According to our database, Xianzhen Jiang authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Convergence analysis of the largest and smallest H-eigenvalues for a class of tensor sequences.

Zhaofeng Lan, Jianxun Liu, Xianzhen Jiang

J. Appl. Math. Comput., August, 2024

A conjugate gradient projection method with restart procedure for solving constraint equations and image restorations.

Xianzhen Jiang, Zefeng Huang, Huihui Yang

J. Appl. Math. Comput., June, 2024

A family of spectral conjugate gradient methods with strong convergence and its applications in image restoration and machine learning.

Xianzhen Jiang, Ligang Pan, Meixing Liu, Jinbao Jian

J. Frankl. Inst., 2024

An accelerated relaxed-inertial strategy based CGP algorithm with restart technique for constrained nonlinear pseudo-monotone equations to image de-blurring problems.

Xianzhen Jiang, Zefeng Huang

J. Comput. Appl. Math., 2024

2023

A family of hybrid conjugate gradient method with restart procedure for unconstrained optimizations and image restorations.

Xianzhen Jiang, Xiaomin Ye, Zefeng Huang, Meixing Liu

Comput. Oper. Res., November, 2023

Two families of hybrid conjugate gradient methods with restart procedures and their applications.

Xianzhen Jiang, Huihui Yang, Jinbao Jian, Xiaodi Wu

Optim. Methods Softw., September, 2023

A three-term conjugate gradient algorithm with restart procedure to solve image restoration problems.

Xianzhen Jiang, Huihui Yang, Jianghua Yin, Wei Liao

J. Comput. Appl. Math., May, 2023

A family of inertial-relaxed DFPM-based algorithms for solving large-scale monotone nonlinear equations with application to sparse signal restoration.

Jianghua Yin, Jinbao Jian, Xianzhen Jiang, Xiaodi Wu

J. Comput. Appl. Math., 2023

2022

Two classes of spectral conjugate gradient methods for unconstrained optimizations.

Jinbao Jian, Pengjie Liu, Xianzhen Jiang, Chen Zhang

J. Appl. Math. Comput., December, 2022

A three-term conjugate gradient method with accelerated subspace quadratic optimization.

Jinbao Jian, Wenrui Chen, Xianzhen Jiang, Pengjie Liu

J. Appl. Math. Comput., August, 2022

A new family of hybrid three-term conjugate gradient methods with applications in image restoration.

Xianzhen Jiang, Wei Liao, Jianghua Yin, Jinbao Jian

Numer. Algorithms, 2022

2021

A hybrid three-term conjugate gradient projection method for constrained nonlinear monotone equations with applications.

Jianghua Yin, Jinbao Jian, Xianzhen Jiang, Meixing Liu, Lingzhi Wang

Numer. Algorithms, 2021

A generalized hybrid CGPM-based algorithm for solving large-scale convex constrained equations with applications to image restoration.

Jianghua Yin, Jin-bao Jian, Xianzhen Jiang

J. Comput. Appl. Math., 2021

An improved Polak-Ribière-Polyak conjugate gradient method with an efficient restart direction.

Xianzhen Jiang, Jinbao Jian, Dan Song, Pengjie Liu

Comput. Appl. Math., 2021

2020

A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations.

Pengjie Liu, Jinbao Jian, Xianzhen Jiang

Complex., 2020

2019

Improved Fletcher-Reeves and Dai-Yuan conjugate gradient methods with the strong Wolfe line search.

Xianzhen Jiang, Jinbao Jian

J. Comput. Appl. Math., 2019

2017

A new spectral conjugate gradient method for large-scale unconstrained optimization.

Jinbao Jian, Qian Chen, Xianzhen Jiang, You-Fang Zeng, Jianghua Yin

Optim. Methods Softw., 2017