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

new regularization methods #65

Open
jessdtate opened this issue Jan 23, 2018 · 0 comments
Open

new regularization methods #65

jessdtate opened this issue Jan 23, 2018 · 0 comments

Comments

@jessdtate
Copy link
Contributor

We have some new methods to choose the regularization parameters implemented in the MFS inverse python code. These could be added to the tikhonovSVD module and could be an optional replacement to the l-curve method. methods are CRESO, GCV, RGCV, zero-crossing.

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

1 participant