research
∙
07/14/2022
A Meta-learning Formulation of the Autoencoder Problem
A rapidly growing area of research is the use of machine learning approa...
share
research
∙
05/06/2022
Physics-informed neural networks for PDE-constrained optimization and control
A fundamental problem of science is designing optimal control policies t...
research
∙
03/01/2021
A unified formulation of splitting-based implicit time integration schemes
Splitting-based time integration approaches such as fractional steps, al...
research
∙
11/07/2020
A fast time-stepping strategy for ODE systems equipped with a surrogate model
Simulation of complex dynamical systems arising in many applications is ...
research
∙
02/03/2020
Parallel implicit-explicit general linear methods
High-order discretizations of partial differential equations (PDEs) nece...
research
∙
10/30/2019
Implicit multirate GARK methods
This work considers multirate generalized-structure additively partition...
research
∙
02/02/2019
Alternating Directions Implicit Integration in a General Linear Method Framework
Alternating Directions Implicit (ADI) integration is an operator splitti...
research
∙
11/30/2018
Coupled Multirate Infinitesimal GARK Schemes for Stiff Systems with Multiple Time Scales
Differential equations derived from many real-world applications are dom...
research
∙
04/20/2018
