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arXiv · 2104.06675

FrankWolfe.jl: a high-performance and flexible toolbox for Frank-Wolfe algorithms and Conditional Gradients

Mathieu Besançon·Alejandro Carderera·Sebastian Pokutta
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Abstract

We present FrankWolfe.jl, an open-source implementation of several popular Frank-Wolfe and Conditional Gradients variants for first-order constrained optimization. The package is designed with flexibility and high-performance in mind, allowing for easy extension and relying on few assumptions regarding the user-provided functions. It supports Julia's unique multiple dispatch feature, and interfaces smoothly with generic linear optimization formulations using MathOptInterface.jl.

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Mathieu Besançon, Alejandro Carderera, Sebastian Pokutta. 2021-04-14. FrankWolfe.jl: a high-performance and flexible toolbox for Frank-Wolfe algorithms and Conditional Gradients. https://arxiv.org/abs/2104.06675

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