GitHub / PerformanceEstimation / 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.
Stars: 49
Forks: 6
Open issues: 0
License: mit
Language: MATLAB
Size: 2.92 MB
Dependencies parsed at: Pending
Created at: about 8 years ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: first-order-methods, matlab, optimization, optimization-algorithms, performance-estimation-problems, semidefinite-programming, worst-case-analyses