Unconstrained-Performance-Estimation-Problems-first-order-methods-

This code can be used to reproduce all results from the paper "Smooth strongly convex interpolation and exact worst-case performance of first-order methods" (published in Mathematical Programming). (newer version available in the PESTO toolbox)

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdrienTaylor%2FUnconstrained-Performance-Estimation-Problems-first-order-methods-

Stars: 2
Forks: 0
Open issues: 0

License: None
Language: Matlab
Size: 12.7 KB
Dependencies parsed at: Pending

Created at: almost 10 years ago
Updated at: about 1 year ago
Pushed at: about 7 years ago
Last synced at: about 1 year ago

Topics: convergence-analyses, semidefinite-programming, worst-case-analyses

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GitHub / AdrienTaylor / Unconstrained-Performance-Estimation-Problems-first-order-methods-