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.

Date Created 2017-03-07 (7 years ago)

Commits 111 (last one 4 months ago)

Stargazers 51 (0 this week)

Watchers 3 (0 this week)

Forks 6

License mit

Ranking

RepositoryStats indexes 535,551 repositories, of these PerformanceEstimation/Performance-Estimation-Toolbox is ranked #426,611 (20th percentile) for total stargazers, and #399,428 for total watchers. Github reports the primary language for this repository as MATLAB, for repositories using this language it is ranked #902/1,216.

PerformanceEstimation/Performance-Estimation-Toolbox is also tagged with popular topics, for these it's ranked: optimization (#689/806), matlab (#269/314), optimization-algorithms (#90/117)

Other Information

There have been 1 release, the latest one was published on 2019-11-22 (4 years ago) with the name November2019.

Homepage URL: http://www.di.ens.fr/~ataylor/share/PESTO_CDC_2017.pdf

All Topics

matlab optimization first-order-methods worst-case-analyses optimization-algorithms semidefinite-programming performance-estimation-problems

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5 commits on the default branch (master) since jan '22

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The primary language is MATLAB but there's also others...

updated: 2024-05-13 @ 04:26am, id: 84187646 / R_kgDOBQSZ_g