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Tao Zhou
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Tao Zhou,  Professor

  • Research direction:

    Stochastic Computations, Uncertainty Quantification
  • Representative work:

    Ling Guo, Akil Narayan and Tao Zhou, Constructing least-squares polynomial approximations, SIAM Review, 62(2), 483-508 2020.
    Ling Guo, Hao Wu and Tao Zhou,  Normalizing field flow: solving forward and inverse stochastic differential equations using physics-informed flow model, J. Comput. Phys., (461) 2022, 111202.
    Liang Yan and Tao Zhou, Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems,  J. Comput. Phys., 381: 110-128, 2019. 
    Akil Narayan, John Jakeman and Tao Zhou, A Christoffel function weighted least squares algorithm for collocation approximations, Math. Comput., (86)2017, pp.1913-1947.
    Eleonora Musharbash, Fabio Nobile and Tao Zhou, Error analysis of the dynamically orthogonal approximation of time dependent random PDEs,  SIAM J. Sci. Comput.,  37-2,  pp. A776–A810, 2015.
  • Contact information:

    Office:Room 418, Lanbai Building Telephone:0086-10-82541572 Email:tzhou@lsec.cc.ac.cn