PerformanceEstimation

PerformanceEstimation

Organization data from Github https://github.com/PerformanceEstimation

GitHub:@PerformanceEstimation

PerformanceEstimation's repositories

PEPit

PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.

Language:PythonLicense:MITStargazers:91Issues:5Issues:14

Performance-Estimation-Toolbox

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.

Language:MATLABLicense:MITStargazers:55Issues:3Issues:3

Learning-Performance-Estimation

This repository regroups learning ressources about performance estimation problems

Language:Jupyter NotebookLicense:MITStargazers:13Issues:3Issues:1

Constraints_Strengthening

Code for strengthening descriptions of function or operator classes.

Language:Jupyter NotebookStargazers:1Issues:0Issues:0
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Language:HTMLLicense:GPL-3.0Stargazers:0Issues:2Issues:0