巫文婷
近期热点
资料介绍
个人简历
Education ► Sep. 2014 - Jun. 2019, Ph.D. in Computational Mathematics, Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing (China). Supervisor: Prof. Zhong-Zhi Bai. Major: numerical algebra.► Sep. 2010 - Jun. 2014, Bachelor in Information and Computing Sciences, School of Mathematical Sciences, Dalian University of Technology, Dalian (China)近期论文
Publications [1] Z.-Z. Bai and W.-T. Wu, On greedy randomized Kaczmarz method for solving large sparse linear systems, SIAM J. Sci. Comput., 40(2018), A592-A606.[2] Z.-Z. Bai and W.-T. Wu, On relaxed greedy randomized Kaczmarz methods for solving large sparse linear systems, Appl. Math. Lett., 83(2018), 21-26.[3] Z.-Z. Bai and W.-T. Wu, On convergence rate of the randomized Kaczmarz method, Linear Algebra Appl., 553(2018), 252-269.[4] Z.-Z. Bai and W.-T. Wu, On greedy randomized coordinate descent methods for solving large linear least-squares problems, Numer. Linear Algebra Appl., 26(2019), e2237, pp. 1-15.[5] W.-T. Wu, On minimization of upper bound for the convergence rate of the QHSS iteration method, Commun. Appl. Math. Comput., 1(2019), 263-282.[6] Z.-Z. Bai and W.-T. Wu, On partially randomized extended Kaczmarz method for solving large sparse overdetermined inconsistent linear systems, Linear Algebra Appl., 578(2019), 225-250.[7] Z.-Z. Bai, W.-T. Wu and G.V. Muratova, The power method and beyond, Appl. Numer. Math., (2020), DOI: https://doi.org/10.1016/j.apnum.2020.03.021. 相关热点