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

Avoid direct inversion of covariance matrices for numerical stability #3910

Open
coderabbitai bot opened this issue Nov 26, 2024 · 0 comments
Open

Avoid direct inversion of covariance matrices for numerical stability #3910

coderabbitai bot opened this issue Nov 26, 2024 · 0 comments
Assignees
Labels
Long Term Tracking issues for longer-term projects and developments

Comments

@coderabbitai
Copy link

coderabbitai bot commented Nov 26, 2024

As discussed in PR #3877 (comment), it was suggested that we should generally avoid direct inversion of covariance matrices in the ACTS codebase and use solvers like ldlt().solve() for better numerical stability. This improvement can be applied throughout the project.

@AJPfleger AJPfleger added the Long Term Tracking issues for longer-term projects and developments label Nov 26, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Long Term Tracking issues for longer-term projects and developments
Projects
None yet
Development

No branches or pull requests

2 participants