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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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PerformanceEstimation%2FPerformance-Estimation-Toolbox

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

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