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个人简介

担任国际学术期刊Computational and Applied Mathematics, Journal of Applied Mathematics and Computing,FILOMAT, 和 Communications in Mathematical Research,《高校计算数学学报》的编委. 在国际学术期刊Math. Comput., SIAM J. Sci. Comput.,SIAM J. Numer Anal., SIAM J. Matrix Anal. Appl., J. Sci. Comput., IEEE Trans. Auto. Control, IEEE Trans.Neural Network Learn. System, Neurocomputing 和 Neural Computation 等发表论文150余篇; 在EDP Science, Elsevier, Springer, World Scientific和科学出版社等出版英语专著5本. 5次入选爱思唯尔“中国高被引学者”榜单. Google学术引用8900余次,H 指数 48.

研究领域

数值线性代数,多重线性代数的快速算法及其应用

近期论文

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侍兴华,魏益民和张闻,Convergence of general nonstationary iterative methods for solving singular linear equations. SIAM J. Matrix Anal. Appl., 32 (2011) 72-89. 许庆详, 魏益民和顾旸旸,Sharp norm-estimations for Moore-Penrose inverses of stable perturbations of Hilbert C -module operators.SIAM J. Numer. Anal., 47 (2010) 4735-4758. 吴钢, 魏益民,Arnoldi versus GMRES for computing PageRank: A theoretical contribution to Google's PageRank problem,ACM Transactions on Information Systems, Vol.28, No. 3, Article 11, June 2010. 林依勤,魏益民,Condition numbers of the generalized Sylvester equation. IEEE Trans. Auto. Control, 52 (2007) 2380-2385. F. Cucker, 刁怀安和魏益民,On mixed and componentwise condition numbers for Moore-Penrose inverse and linear least squares problems. Math. Comput., 76 (2007) 947-963. W.Ding and Y.Wei. Theory and Computation of Tensors: Multi- Dimensional Arrays, Elsevier, 2016. M.Che and Y.Wei. Randomized algorithms for the approximations of Tucker and the tensor train decompositions, Advances in Computational Mathematics, 45 (2019)395-428. X. Wang, M. Che, and Y. Wei. Neural networks based approach solving multi-linear systems with M-tensors, Neurocomputing, 351 (2019) 33-42. M.Che and Y.Wei. Theory and Computation of Complex Tensors and its Applications, Springer, Singapore, 2020. M. Che, Y. Wei, and H.Yan. The computation of low multilinear rank approximations of tensors via power scheme and random projection, SIAM Journal on Matrix Analysis and Applications, 41 (2020) 605-636.

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