Jingmei Qiu - Conservative Adaptive Rank Integrators for Nonlinear Kinetic Models - IPAM at UCLA
Presenter
February 7, 2024
Event: Tensor Networks Workshop
Abstract
Recorded 07 February 2024. Jingmei Qiu of the University of Delaware presents "Conservative Adaptive Rank Integrators for Nonlinear Kinetic Models" at IPAM's Tensor Networks Workshop.
Abstract: I will provide overview of low rank time integrators for time dependent PDEs. These include an explicit scheme that involve a time stepping followed by a SVD truncation procedure with application to the Vlasov equations; two implicit schemes: Reduced Augmentation Implicit Low rank (RAIL) scheme and a Krylov subspace low rank scheme with applications to the heat equation and the Fokker-Planck equation; as well as implicit-explicit low rank integrators for advection-diffusion equations.
Learn more online at: https://www.ipam.ucla.edu/programs/workshops/tensor-networks/