Sign in
Colloquia & Seminars
Home - Activities
Home - ActivitiesSeminars of 2022
-
19:30-20:30 June 1(Wednesday)
Dr. Boqian Shen, King Abdullah University of Science and Technology
A Sequential Discontinuous Galerkin Method for Two-Phase Flow in Deformable Porous Media -
19:00-20:00 May 26(Thursday)
Chun Li, Associate Professor, Nanjing University
A novel kind of conservative schemes for nonsmooth nonlinear Schrodinger equations and some relevant numerical analysis -
19:30-21:00 May 25(Wednesday)
Dr. Liang Chen, Institute of Mathematics and Systems Science, Chinese Academy of Sciences
Hybrid integer solver CMIP -
19:00-20:00 May 19(Thursday)
Liji Wang, University of Chinese Academy of Sciences
Some energy-preserving numerical methods for stochastic Poisson systems -
14:00-15:00 May 18(Wednesday)
Dr. Beibei Zhu, School of Mathematics and Physics, University of Science and Technology Beijing
Poisson Integrators based on splitting method for Poisson systems -
9:00-10:00 May 18(Wednesday)
Dr. Yuan GAO, Purdue University
Droplets with moving contact line and insoluble surfactant: Onsager's principle, variational inequality, computations -
15:00-16:00 May 17(Tuesday)
Yanmin Zhao, Professor, School of Mathematics and Physics, Xuchang University
Finite Element Methods for Nonlinear Time-Fractional PDEs with Delay Term -
14:00-15:00 May 17(Tuesday)
Dr. Hu Chen, School of Mathematical Sciences, Ocean University of China
Using complete monotonicity to deduce local error estimates for discretisations of a multi-term time-fractional diffusion equation -
9:00-10:00 May 17(Tuesday)
Dr. Jinlong Wu, Caltech, USA
Data-Driven Closure Modeling Using Derivative-free Kalman Methods -
15:00-16:00 May 16(Monday)
Xiaojie Wang, Central South University
An explicit time-stepping scheme for stochastic Cahn-Hilliard equation with additive noise -
19:00-20:00 May 12(Thursday)
Linghua Kong, Jiangxi Normal University
Symplectic-preserving Combined High-Order Compact Scheme for Multiple Order Spatial Derivatives Differential Equations -
10:00-11:00 May 12(Thursday)
Prof. Lili Ju, University of South Carolina
Level Set Learning with Pseudo-Reversible Neural Networks for Nonlinear Dimension Reduction in Function Approximation
- Seminars of 2024Seminars of 2023Seminars of 2022Seminars of 2021Seminars of 2020Seminars of 2019Seminars of 2018Seminars of 2017Seminars of 2016Seminars of 2015Seminars of 2014Seminars of 2013Seminars of 2012Seminars of 2011Seminars of 2010Seminars of 2009Seminars of 2008Seminars of 2007Seminars of 2006Seminars of 2005Seminars of 2004Seminars of 2003