Open AccessOn fast convergence rates for generalized conditional gradient methods with backtracking stepsize
Author(s) -
Karl Kunisch,
Daniel Walter
Publication year - 2024
Publication title -
numerical algebra, control and optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.303
H-Index - 20
eISSN - 2155-3289
pISSN - 2155-3297
DOI - 10.3934/naco.2022026
Subject(s) - sublinear function , iterated function , mathematics , convexity , rate of convergence , backtracking , differentiable function , convex function , gradient descent , convergence (economics) , mathematical optimization , regular polygon , computer science , combinatorics , mathematical analysis , artificial neural network , computer network , channel (broadcasting) , geometry , machine learning , financial economics , economics , economic growth