Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

GaussAdjoint support for DDEProblem #1074

Open
m-bossart opened this issue Jul 3, 2024 · 5 comments
Open

GaussAdjoint support for DDEProblem #1074

m-bossart opened this issue Jul 3, 2024 · 5 comments

Comments

@m-bossart
Copy link
Contributor

Is your feature request related to a problem? Please describe.

I'm attempting to perform sensitivity analysis for a large (100s-1000s parameters+states) DDEProblem. Based on the recommendations, GaussAdjoint seems to be the best option, however the current implementation only supports ODEProblems per the documentation.

Describe the solution you’d like

Support for DDEProblem + GaussAdjoint sensitivity analysis.

@devmotion
Copy link
Member

Ref #281

AFAIK there's no support for DDEs in SciMLSensitivity yet.

@m-bossart
Copy link
Contributor Author

Thanks for linking that issue. There is an example and a test along with other mentions of compatibility for DDEs so I figured there was some support?

@ChrisRackauckas
Copy link
Member

There's direct differentiation but no adjoint yet.

@m-bossart
Copy link
Contributor Author

Ok. And just to clarify ReverseDiffAdjoint() is considered direct differentiation not adjoint?

@ChrisRackauckas
Copy link
Member

yes, it's a discrete adjoint not continuous. I meant no continuous adjoint.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants