Efficient solvers for the implicit time integration of matrix-free high-order methods


Michael FrancoI graduated from Rice University in 2014 with a double major in Applied Mathematics and Mathematics. After graduation, I worked for BP's Center for High Performance Computing, helping improve their parallel methods for acoustic/elastic wave propagation. Having joined Berkeley in 2016, I am now an Applied Math PhD Candidate. My research focuses on the areas of parallel computing and computational fluid dynamics. Specific topics of interest include: high-order discontinuous Galerkin methods, implicit time integration, and numerical optimization.

Google scholar: https://scholar.google.com/citations?user=8tR5uTcAAAAJ

Michael Franco
Publication date: 
August 1, 2022
Publication type: 
PhD Thesis (Author field refers to student + advisor)