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On τ-preconditioner for a novel fourth-order difference scheme of two-dimensional Riesz space-fractional diffusion equations Journal article
Yuan-Yuan Huang, Wei Qu, Siu Long Lei. On τ-preconditioner for a novel fourth-order difference scheme of two-dimensional Riesz space-fractional diffusion equations[J]. Computers and Mathematics with Applications, 2023, 145, 124-140.
Authors:  Yuan-Yuan Huang;  Wei Qu;  Siu Long Lei
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:2.9/2.6 | Submit date：2023/08/03
Preconditioned Conjugate Gradient Method  Riesz Space-fractional Diffusion Equations  Spectral Analysis  Stability And Convergence  Τ-preconditioner  
A generalized geometric spectral conjugate gradient algorithm for finding zero of a monotone tangent vector field on a constant curvature Hadamard manifold Journal article
Zhao, Zhi, Jin, Xiao Qing, Bai, Zheng Jian, Yao, Teng Teng. A generalized geometric spectral conjugate gradient algorithm for finding zero of a monotone tangent vector field on a constant curvature Hadamard manifold[J]. Journal of Computational and Applied Mathematics, 2023, 422, 114882.
Authors:  Zhao, Zhi;  Jin, Xiao Qing;  Bai, Zheng Jian;  Yao, Teng Teng
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:2.1/2.1 | Submit date：2023/05/02
Hadamard Manifolds  Monotone Vector Field  Projection Method  Spectral Conjugate Gradient Method  
A class of preconditioner for solving the Riesz distributed-order nonlinear space-fractional diffusion equations Journal article
Yu, Jian Wei, Zhang, Chun Hua, Huang, Xin, Wang, Xiang. A class of preconditioner for solving the Riesz distributed-order nonlinear space-fractional diffusion equations[J]. Japan Journal of Industrial and Applied Mathematics, 2023, 40(1), 537-562.
Authors:  Yu, Jian Wei;  Zhang, Chun Hua;  Huang, Xin;  Wang, Xiang
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:0.7/0.7 | Submit date：2023/01/30
Circulant Preconditioner  Linear System  Nonlinear Space-fractional Diffusion Equations  Preconditioned Conjugated Gradient Method  Spectrum  
Online Identification of Nonlinear Systems With Separable Structure Journal article
Chen, Guang Yong, Gan, Min, Chen, Long, Chen, C. L.P.. Online Identification of Nonlinear Systems With Separable Structure[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 35(6), 8695-8701.
Authors:  Chen, Guang Yong;  Gan, Min;  Chen, Long;  Chen, C. L.P.
Favorite | TC[WOS]:6 TC[Scopus]:5  IF:10.2/10.4 | Submit date：2023/01/30
Feedforward Neural Networks (Fnns)  Separable Nonlinear Models (Snlms)  Stochastic Gradient Descent (Sgd) Method  Variable Projection (Vp) Method  
A circulant preconditioner for the Riesz distributed-order space-fractional diffusion equations Journal article
Huang,Xin, Fang,Zhi Wei, Sun,Hai Wei, Zhang,Chun Hua. A circulant preconditioner for the Riesz distributed-order space-fractional diffusion equations[J]. Linear and Multilinear Algebra, 2022, 70(16), 3081-3096.
Authors:  Huang,Xin;  Fang,Zhi Wei;  Sun,Hai Wei;  Zhang,Chun Hua
Favorite | TC[WOS]:12 TC[Scopus]:8  IF:0.9/1.0 | Submit date：2021/03/09
Distributed-order  Space-fractional Diffusion Equations  Circulant Preconditioner  Preconditioned Conjugated Gradient Method  
Preconditioners with Symmetrized Techniques for Space Fractional Cahn-Hilliard Equations Journal article
Xin Huang, Dongfang Li, · Hai-Wei Sun, Fan Zhang. Preconditioners with Symmetrized Techniques for Space Fractional Cahn-Hilliard Equations[J]. JOURNAL OF SCIENTIFIC COMPUTING, 2022, 92(2), 41.
Authors:  Xin Huang;  Dongfang Li;  · Hai-Wei Sun;  Fan Zhang
Favorite | TC[WOS]:15 TC[Scopus]:14  IF:2.8/2.7 | Submit date：2022/08/02
Fractional Cahn-hilliard  Toeplitz-like  Fast Algorithm  Sine Transform Based Preconditioner  Conjugate Gradient Method  
Spectral Analysis for Preconditioning of MultiDimensional Riesz Fractional Diffusion Equations Journal article
Huang, Xin, Lin, Xue Lei, Ng, Michael K., Sun, Hai Wei. Spectral Analysis for Preconditioning of MultiDimensional Riesz Fractional Diffusion Equations[J]. NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2022, 15(3), 565-591.
Authors:  Huang, Xin;  Lin, Xue Lei;  Ng, Michael K.;  Sun, Hai Wei
Favorite | TC[WOS]:28 TC[Scopus]:29  IF:1.9/1.3 | Submit date：2023/01/30
Multi-dimensional Riesz Fractional Derivative  Multi-level Toeplitz Matrix  Preconditioned Conjugate Gradient Method  Sine Transform Based Preconditioner  
An efficient multigrid solver for two-dimensional spatial fractional diffusion equations with variable coefficients: An efficient multigrid solver for two-dimensional SFDEs Journal article
Pan,Kejia, Sun,Hai Wei, Xu,Yuan, Xu,Yufeng. An efficient multigrid solver for two-dimensional spatial fractional diffusion equations with variable coefficients: An efficient multigrid solver for two-dimensional SFDEs[J]. APPLIED MATHEMATICS AND COMPUTATION, 2021, 402, 126091.
Authors:  ; et al.
Favorite | TC[WOS]:16 TC[Scopus]:17  IF:3.5/3.1 | Submit date：2021/03/09
Biconjugate Gradient Stabilized Method  Cascadic Multigrid Method  Fractional Diffusion Equations  Richardson Extrapolation  Variable Coefficients  
A framework of the finite element solution of the Landau-Lifshitz-Gilbert equation on tetrahedral meshes Journal article
Yang, Lei, Chen, Jingrun, Hu, Guanghui. A framework of the finite element solution of the Landau-Lifshitz-Gilbert equation on tetrahedral meshes[J]. Journal of Computational Physics, 2021, 431, 110142.
Authors:  Yang, Lei;  Chen, Jingrun;  Hu, Guanghui
Favorite | TC[WOS]:7 TC[Scopus]:6  IF:3.8/4.5 | Submit date：2021/03/11
Demagnetization Field Calculation  Finite Element Method  Gradient Recovery  Implicit Midpoint Scheme  Landau-lifshitz-gilbert Equation  
A Riemannian inexact Newton-CG method for constructing nonnegative matrix with prescribed realizable spectrum Journal article
Zhi Zhao, Zheng-Jian Bai, Xiao-Qing Jin. A Riemannian inexact Newton-CG method for constructing nonnegative matrix with prescribed realizable spectrum[J]. Numerische Mathematik, 2018.
Authors:  Zhi Zhao;  Zheng-Jian Bai;  Xiao-Qing Jin
Favorite | TC[WOS]:14 TC[Scopus]:12  IF:2.1/2.4 | Submit date：2019/07/30
Inverse Eigenvalue Problems  Algorithm  Conjugate-gradient Method  Sufficient Conditions