This package is a toolbox for Frank-Wolfe and conditional gradient algorithms. Frank-Wolfe algorithms were designed to solve optimization problems where f is a differentiable convex function and C is a convex and compact set. They are especially useful when we know how to optimize a linear function over C in an efficient way.

Features

  • Documentation available
  • Examples available
  • Julia implementation for various Frank-Wolfe and Conditional Gradient variants
  • Licensed under the MIT License
  • This package is a toolbox for Frank-Wolfe and conditional gradients algorithms

Project Samples

FrankWolfe.jl Screenshot 1

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Categories

Data Visualization

License

MIT License

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Additional Project Details

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-12-11
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