PDEs

Extrapolated Linear Multistep Methods

Lajos Lóczi, Research Scientist, Applied Mathematics and Computational Science

Mar 12, 12:00 - 13:00

B9 L2 R2325

ODEs PDEs numerical methods linear multistep methods LMMs

In this talk, we will discuss how linear multistep methods and classical extrapolation can be combined to obtain new classes of efficient time-integration methods.

Lajos Lóczi

Research Scientist, Applied Mathematics and Computational Science

numerical methods PDEs ODEs stability analysis numerical discretization qualitative theory numerical analysis

Lajos Lóczi research focuses on the symbolic aspects of numerical methods for differential equations.

David De Jesus

Postdoctoral Research Fellow, Applied Mathematics and Computational Science

data analysis NumPy PDEs stochastic processes probability theory Python (Programming Language) TensorFlow

David's research focuses on the regularity of solutions to degenerate elliptic and parabolic partial differential equations as well as free boundary problems.

Juan Pablo Bernal Tamayo

Ph.D., Applied Mathematics and Computational Science

PDEs genomics single cell biology