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

NLPStopping: handle the unbounded below problem as a success in optimality_check for unconstrained problems #48

Open
tmigot opened this issue Nov 24, 2021 · 2 comments

Comments

@tmigot
Copy link
Member

tmigot commented Nov 24, 2021

nlp_admissible_functions.jl#L12

Maybe add a keyword with an unbounded threshold.

@tmigot
Copy link
Member Author

tmigot commented Nov 24, 2021

For constrained problems, we could replace the part "lagrangian gradient < eps" by 0 when the objective function is -Inf (or less than a threshold).

@tmigot
Copy link
Member Author

tmigot commented Nov 24, 2021

The same should follow the 1D line searches

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

1 participant