Code and Data Repository for FrankWolfe.jl: A High-performance and Flexible Toolbox for Frank-Wolfe Algorithms and Conditional Gradients
Mathieu Besançon, Alejandro Carderera, Sebastian Pokutta · INFORMS journal on computing · 2022
The software and data in this repository are a snapshot of the software and data that were used in the research reported on in the paper FrankWolfe.jl: a high-performance and flexible toolbox for Frank-Wolfe algorithms and Conditional Gradients by M. Besançon, A. Carderera, and S. Pokutta.