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

extension of estimate_delay to forward, backward and mixed delays as in Schumann-Bisschoff, Parlitz et al. #59

Open
finmod opened this issue Apr 5, 2018 · 1 comment

Comments

@finmod
Copy link

finmod commented Apr 5, 2018

The state-of-the-art inspiration to estimate_delay is nicely condensed in the thesis of Jan Schumann-Bischoff which you can find here: https://d-nb.info/1116709740/34. Chapter 9 on the Shinriki oscillator has all the ingredients of a good benchmark for all of these delay, reconstruction and prediction methods. It also extends to state and parameter estimation for a system of three timeseries and 9 parameters.

In Julia, forward diff is considered efficient whereas backward diff may be more problematical.


Want to back this issue? Post a bounty on it! We accept bounties via Bountysource.

@ChrisRackauckas
Copy link
Member

In Julia, forward diff is considered efficient whereas backward diff may be more problematical.

Backwards diff is fine these days. It'll be nice to have Capstan.jl completed, but it's really not necessary and there's no need to avoid ReverseDiff.jl these days.

@Datseris Datseris added enhancement wanted feature We really want this! precision improvement big project This is a big project! labels Apr 5, 2018
@Datseris Datseris removed the big project This is a big project! label Mar 22, 2021
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

3 participants