The directional derivative

By J. Danskin. 1967

Subfields: Optimization & Training

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In Optimization & Training

1. Fabian Pedregosa
2. Gauthier Gidel
3. Simon Lacoste-Julien
4. Peter Richtárik
5. Martin Jaggi
6. Sebastian U. Stich
7. Nicolas Loizou
8. Sebastian Pokutta

Citations in the corpus

• Frank-Wolfe Splitting via Augmented Lagrangian Method (2018, background): “To conclude, Danskin (1967)’s Theorem claims that ∂d ( y ) = { M ˆ x ( y ) , | ˆ x ( y ) ∈ arg min x ∈X L ( x , y ) } which is a singleton in that case.”