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The Riemannian two-step perturbed Gauss–Newton method for least squares inverse eigenvalue problems Journal article
Zhao, Zhi, Jin, Xiao Qing, Yao, Teng Teng. The Riemannian two-step perturbed Gauss–Newton method for least squares inverse eigenvalue problems[J]. Journal of Computational and Applied Mathematics, 2022, 405, 113971.
Authors:  Zhao, Zhi;  Jin, Xiao Qing;  Yao, Teng Teng
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.1/2.1 | Submit date：2022/05/13
Nonlinear Least Squares Problem  Parameterized Least Squares Inverse Eigenvalue Problem  Two-step Perturbed Gauss–newton Method  
An Iterative Implementation of Variable Projection for Separable Nonlinear Optimization Problems Journal article
Chen, Guang Yong, Gan, Min, Zhu, Hong Tao, Chen, Long, Chen, C. L.P.. An Iterative Implementation of Variable Projection for Separable Nonlinear Optimization Problems[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(11), 7259-7267.
Authors:  Chen, Guang Yong;  Gan, Min;  Zhu, Hong Tao;  Chen, Long;  Chen, C. L.P.
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:8.6/8.7 | Submit date：2022/05/17
Iterative Algorithms  Jacobian Matrices  Matrix Decomposition  Numerical Models  Optimization  Parameter Estimation  Projection Algorithms  Radial Basis Function Network-based State-dependent Autoregressive (Rbf-ar) Model  Separable Nonlinear Least-squares (Snlls) Problem  Signal Processing  Variable projection.\enlargethispage-12pt  
A novel expectation–maximization-based separable algorithm for parameter identification of RBF-AR model Journal article
Chen, Guang Yong, Chen, Long, Cheng, Chen, Zhang, Xian. A novel expectation–maximization-based separable algorithm for parameter identification of RBF-AR model[J]. Nonlinear Dynamics, 2021, 104(4), 4023-4034.
Authors:  Chen, Guang Yong;  Chen, Long;  Cheng, Chen;  Zhang, Xian
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:5.2/4.8 | Submit date：2022/05/13
Expectation–maximization (Em) Algorithm  Parameter Estimation  Radial Basis Function Network-based State-dependent Autoregressive (Rbf-ar) Model  Separable Nonlinear Least Squares Problem (Snlls)  Variable Projection (Vp) Algorithm  
Insights into Algorithms for Separable Nonlinear Least Squares Problems Journal article
Chen, Guang Yong, Gan, Min, Wang, Shuqiang, Chen, C. L.Philip. Insights into Algorithms for Separable Nonlinear Least Squares Problems[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 30, 1207-1218.
Authors:  Chen, Guang Yong;  Gan, Min;  Wang, Shuqiang;  Chen, C. L.Philip
Favorite | TC[WOS]:23 TC[Scopus]:24  IF:10.8/12.1 | Submit date：2022/05/13
Bundle Adjustment  Image Restoration  Parameter Estimation  Rbf-ar Model  Separable Nonlinear Least-squares Problem  Variable Projection  
Regularization methods for separable nonlinear models Journal article
Chen, Guang Yong, Wang, Shu Qiang, Wang, Dong Qing, Gan, Min. Regularization methods for separable nonlinear models[J]. Nonlinear Dynamics, 2019, 98(2), 1287-1298.
Authors:  Chen, Guang Yong;  Wang, Shu Qiang;  Wang, Dong Qing;  Gan, Min
Favorite | TC[WOS]:3 TC[Scopus]:2  IF:5.2/4.8 | Submit date：2022/05/17
Data Fitting  Parameter Estimation  Regularization  Separable Nonlinear Least Squares Problem  Variable Projection  
Modified Gram-Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models Journal article
Chen,Guang Yong, Gan,Min, Ding,Feng, Chen,C. L.Philip. Modified Gram-Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models[J]. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(8), 2410-2418.
Authors:  Chen,Guang Yong;  Gan,Min;  Ding,Feng;  Chen,C. L.Philip
Favorite | TC[WOS]:60 TC[Scopus]:62  IF:10.2/10.4 | Submit date：2021/03/09
Data Fitting  Modified Gram-schmidt (Mgs)  Parameter Estimation  Separable Nonlinear Least-squares Problem  Variable Projection (Vp)