PerformanceEstimation

All

6 repositories

PEPit
Public
PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
semidefinite-programming worst-case-analyses first-order-methods performance-estimation-problems python optimization
Python
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MIT License
•13•82•2•4•Updated Oct 9, 2024Oct 9, 2024
Learning-Performance-Estimation
Public
This repository regroups learning ressources about performance estimation problems
Jupyter Notebook
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MIT License
•2•12•0•0•Updated Sep 19, 2024Sep 19, 2024
Performance-Estimation-Toolbox
Public
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.
semidefinite-programming worst-case-analyses first-order-methods performance-estimation-problems optimization matlab optimization-algorithms
MATLAB
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MIT License
•6•52•0•0•Updated Feb 20, 2024Feb 20, 2024
.github
Public
1•0•0•0•Updated Feb 27, 2023Feb 27, 2023
PEP-talks
Public
HTML
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GNU General Public License v3.0
•0•0•0•0•Updated Feb 23, 2023Feb 23, 2023
performanceestimation.github.io
Public
0•0•0•0•Updated Oct 4, 2022Oct 4, 2022