Short Paper - A note on the Frank–Wolfe algorithm for a class of nonconvex and nonsmooth optimization problems
Frank and Wolfe’s celebrated conditional gradient method is a well-known tool for solving smooth optimization problems for which minimizing a linear function over the feasible set is computationally cheap. However, when the objective function is nonsmooth, the method may fail to compute a stationary...
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| Auteur principal: | |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Université de Montpellier
2023-01-01
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| Collection: | Open Journal of Mathematical Optimization |
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| Accès en ligne: | https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.21/ |
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