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

Sparse usage (Jacobian, Hessian of the constraints) #52

Closed
3 tasks
ocots opened this issue Mar 3, 2023 · 3 comments
Closed
3 tasks

Sparse usage (Jacobian, Hessian of the constraints) #52

ocots opened this issue Mar 3, 2023 · 3 comments
Assignees

Comments

@ocots
Copy link
Member

ocots commented Mar 3, 2023

Improve sparse usage (Jacobian, Hessian of the constraints) in the CTDirect package.

  • use problem information from ipopt after initialization to check if the NLP is solved with sparse or plain matrices (check number of nonzero elements in Jacobian and Hessian versus problem dimensions) and print a message.
  • check latest versions of the AD/NLP packages
  • benchmark
@ocots
Copy link
Member Author

ocots commented Jun 7, 2023

WIP (@BaptisteCbl)

@ocots ocots transferred this issue from control-toolbox/OptimalControl.jl Jun 7, 2023
@PierreMartinon
Copy link
Member

At this point I think we'll need some profiling tools and set up performance tests.

@PierreMartinon
Copy link
Member

This was added in ADNLPModels 👍

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