Xianzhen Jiang

Orcid: 0000-0001-7727-7583

According to our database1, Xianzhen Jiang authored at least 13 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A family of hybrid conjugate gradient method with restart procedure for unconstrained optimizations and image restorations.
Comput. Oper. Res., November, 2023

Two families of hybrid conjugate gradient methods with restart procedures and their applications.
Optim. Methods Softw., September, 2023

A three-term conjugate gradient algorithm with restart procedure to solve image restoration problems.
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.
J. Comput. Appl. Math., 2023

2022
Two classes of spectral conjugate gradient methods for unconstrained optimizations.
J. Appl. Math. Comput., December, 2022

A three-term conjugate gradient method with accelerated subspace quadratic optimization.
J. Appl. Math. Comput., August, 2022

A new family of hybrid three-term conjugate gradient methods with applications in image restoration.
Numer. Algorithms, 2022

2021
A hybrid three-term conjugate gradient projection method for constrained nonlinear monotone equations with applications.
Numer. Algorithms, 2021

A generalized hybrid CGPM-based algorithm for solving large-scale convex constrained equations with applications to image restoration.
J. Comput. Appl. Math., 2021

An improved Polak-Ribière-Polyak conjugate gradient method with an efficient restart direction.
Comput. Appl. Math., 2021

2020
A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations.
Complex., 2020

2019
Improved Fletcher-Reeves and Dai-Yuan conjugate gradient methods with the strong Wolfe line search.
J. Comput. Appl. Math., 2019

2017
A new spectral conjugate gradient method for large-scale unconstrained optimization.
Optim. Methods Softw., 2017


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