Tao Zhou
Results
Journal Article
A Stochastic Collocation Method for Delay Differential Equations with Random Input
Advances in Applied Mathematics and Mechanics, Vol. 6 (2014), Iss. 4 : pp. 403–418
Journal Article
Solving Time Dependent Fokker-Planck Equations via Temporal Normalizing Flow
Communications in Computational Physics, Vol. 32 (2022), Iss. 2 : pp. 401–423
Journal Article
An Augmented Lagrangian Deep Learning Method for Variational Problems with Essential Boundary Conditions
Communications in Computational Physics, Vol. 31 (2022), Iss. 3 : pp. 966–986
Journal Article
An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems
Communications in Computational Physics, Vol. 28 (2020), Iss. 5 : pp. 2180–2205
Journal Article
Sparse Approximation of Data-Driven Polynomial Chaos Expansions: An Induced Sampling Approach
Communications in Mathematical Research, Vol. 36 (2020), Iss. 2 : pp. 128–153
Journal Article
A New Discrete Energy Technique for Multi-Step Backward Difference Formulas
CSIAM Transactions on Applied Mathematics, Vol. 3 (2022), Iss. 2 : pp. 318–334
Journal Article
Discrete Energy Analysis of the Third-Order Variable-Step BDF Time-Stepping for Diffusion Equations
Journal of Computational Mathematics, Vol. 41 (2023), Iss. 2 : pp. 325–344
Journal Article
Discrete Energy Analysis of the Third-Order Variable-Step BDF Time-Stepping for Diffusion Equations
Journal of Computational Mathematics, Vol. 41 (2023), Iss. 2 : pp. 325–344
Journal Article
An Explicit Multistep Scheme for Mean-Field Forward-Backward Stochastic Differential Equations
Journal of Computational Mathematics, Vol. 40 (2022), Iss. 4 : pp. 517–540
Journal Article
Boundary Value Methods for Caputo Fractional Differential Equations
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 1 : pp. 108–129
Journal Article
An Acceleration Strategy for Randomize-Then-Optimize Sampling via Deep Neural Networks
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 6 : pp. 848–864
Journal Article
An Acceleration Strategy for Randomize-Then-Optimize Sampling via Deep Neural Networks
Journal of Computational Mathematics, Vol. 39 (2021), Iss. 6 : pp. 848–864