PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
-
Updated
Jan 21, 2025 - Python
PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.
Code implementing the Performance Estimation Problem (PEP) methodology for SGD without variance assumption.
Add a description, image, and links to the performance-estimation-problems topic page so that developers can more easily learn about it.
To associate your repository with the performance-estimation-problems topic, visit your repo's landing page and select "manage topics."