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Jianghua Yin
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2020 – today
- 2024
- [j17]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) - [j16]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) - [j15]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) - [j14]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) - [j13]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
- [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]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) - 2022
- [j9]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) - [j8]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) - [c1]Gang Zhao, Jiarong Yi, Jie Chu, Yinan Zhang, Jianghua Yin:
Design and Implementation of the Teacher-student Dialogue Automatic Speech Recognition Tool Based on Classroom Verbal Characteristics. ICETC 2022: 503-508 - 2021
- [j7]Xiaodi Wu, Yihan Zhu, Jianghua Yin:
A HS-PRP-Type Hybrid Conjugate Gradient Method with Sufficient Descent Property. Comput. Intell. Neurosci. 2021: 2087438:1-2087438:8 (2021) - [j6]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) - [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]Meixing Liu, Guodong Ma, Jianghua Yin:
Two New Conjugate Gradient Methods for Unconstrained Optimization. Complex. 2020: 9720653:1-9720653:13 (2020) - [j2]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
- 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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