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Shengwei Yao
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2020 – today
- 2023
- [j18]Guoxin Wang, Shengwei Yao, Mingyang Pei, Jieqiong Xu:
A Three-Dimensional Subspace Algorithm Based on the Symmetry of the Approximation Model and WYL Conjugate Gradient Method. Symmetry 15(6): 1207 (2023) - 2022
- [j17]Lue Li, Caihong Han, Shengwei Yao, Liangshuo Ning:
Variable Weights Combination MIDAS Model Based on ELM for Natural Gas Price Forecasting. IEEE Access 10: 52075-52093 (2022) - [j16]Liwang Ding, Shengwei Yao, Ping Chen:
On Berry-Esseen bound of wavelet estimators in nonparametric regression model under asymptotically negatively associated assumptions. Commun. Stat. Simul. Comput. 51(3): 924-940 (2022) - [j15]Jun Huo, Jielan Yang, Guoxin Wang, Shengwei Yao:
A Class of Three-Dimensional Subspace Conjugate Gradient Algorithms for Unconstrained Optimization. Symmetry 14(1): 80 (2022) - 2021
- [j14]Jun Huo, Yuping Wu, Guoen Xia, Shengwei Yao:
A Dynamically Adjusted Subspace Gradient Method and Its Application in Image Restoration. Symmetry 13(12): 2450 (2021) - 2020
- [j13]Shengwei Yao, Liangshuo Ning, Huonian Tu, Jieqiong Xu:
A one-parameter class of three-term conjugate gradient methods with an adaptive parameter choice. Optim. Methods Softw. 35(6): 1051-1064 (2020)
2010 – 2019
- 2019
- [j12]Liang'an Huo, Fan Ding, Tingting Lin, Shengwei Yao:
Dynamical Analysis of Rumor Spreading Model With Incubation Mechanism and Activity of Nodes. IEEE Access 7: 152493-152500 (2019) - 2018
- [j11]Shengwei Yao, Liangshuo Ning:
An adaptive three-term conjugate gradient method based on self-scaling memoryless BFGS matrix. J. Comput. Appl. Math. 332: 72-85 (2018) - [j10]Shengwei Yao, Donglei He, Lihua Shi:
An improved Perry conjugate gradient method with adaptive parameter choice. Numer. Algorithms 78(4): 1255-1269 (2018) - 2017
- [j9]Xiu Zhang, Xin Zhang, Changmeng Zhang, Shengwei Yao, Hao Qi, Yunyun Xu:
Optimal design and analysis of wireless power transfer system with converter circuit. EURASIP J. Wirel. Commun. Netw. 2017: 27 (2017) - 2016
- [j8]Yunlong Cheng, Qiong Mou, Xianbing Pan, Shengwei Yao:
A sufficient descent conjugate gradient method and its global convergence. Optim. Methods Softw. 31(3): 577-590 (2016) - 2015
- [j7]Shengwei Yao, Xiwen Lu, Liangshuo Ning, Feifei Li:
A class of one parameter conjugate gradient methods. Appl. Math. Comput. 265: 708-722 (2015) - 2014
- [j6]Liying Liu, Shengwei Yao, Zengxin Wei:
A Modified Non-Monotone BFGS Method for Non-Convex Unconstrained Optimization. Asia Pac. J. Oper. Res. 31(5) (2014) - 2013
- [j5]Shengwei Yao, Xiwen Lu, Zengxin Wei:
A Conjugate Gradient Method with Global Convergence for Large-Scale Unconstrained Optimization Problems. J. Appl. Math. 2013: 730454:1-730454:9 (2013)
2000 – 2009
- 2008
- [j4]Zengxin Wei, Liying Liu, Shengwei Yao:
The superlinear convergence of a new quasi-Newton-SQP method for constrained optimization. Appl. Math. Comput. 196(2): 791-801 (2008) - 2007
- [j3]Hai Huang, Zengxin Wei, Shengwei Yao:
The proof of the sufficient descent condition of the Wei-Yao-Liu conjugate gradient method under the strong Wolfe-Powell line search. Appl. Math. Comput. 189(2): 1241-1245 (2007) - [j2]Shengwei Yao, Zengxin Wei, Hai Huang:
A note about WYL's conjugate gradient method and its applications. Appl. Math. Comput. 191(2): 381-388 (2007) - 2006
- [j1]Zengxin Wei, Shengwei Yao, Liying Liu:
The convergence properties of some new conjugate gradient methods. Appl. Math. Comput. 183(2): 1341-1350 (2006)
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