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07/14/2022
A Meta-learning Formulation of the Autoencoder Problem
A rapidly growing area of research is the use of machine learning approa...
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05/06/2022
Physics-informed neural networks for PDE-constrained optimization and control
A fundamental problem of science is designing optimal control policies t...
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03/01/2021
A unified formulation of splitting-based implicit time integration schemes
Splitting-based time integration approaches such as fractional steps, al...
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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 ...
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02/03/2020
Parallel implicit-explicit general linear methods
High-order discretizations of partial differential equations (PDEs) nece...
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10/30/2019
Implicit multirate GARK methods
This work considers multirate generalized-structure additively partition...
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02/02/2019
Alternating Directions Implicit Integration in a General Linear Method Framework
Alternating Directions Implicit (ADI) integration is an operator splitti...
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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...
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04/20/2018