Skip to content

Ig-dolci/OperatorLearningAdjoint

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Codes and datasets to reproduce the numerical experiments in the paper ``Operator learning without the adjoint'' by Nicolas Boullé, Diana Halikias, Sam Otto, and Alex Townsend.

  • The folder Green_advection contains the data for the experiments in Section 2.
  • The folder Approximation_bounds contains the data for the experiments in Section 4.

About

Code associated with https://arxiv.org/abs/2401.17739

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 79.7%
  • MATLAB 20.3%