Generalized conditional gradient: analysis of convergence and applicationsReport as inadecuate

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1 LITIS - Laboratoire d-Informatique, de Traitement de l-Information et des Systèmes 2 LAGRANGE - Joseph Louis LAGRANGE 3 OCA - Observatoire de la Côte d-Azur 4 OBELIX - Environment observation with complex imagery UBS - Université de Bretagne Sud, IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE

Abstract : The objectives of this technical report is to provide additional results on the generalized conditional gradient methods introduced by Bredies et al. BLM05. Indeed , when the objective function is smooth, we provide a novel certificate of optimality and we show that the algorithm has a linear convergence rate. Applications of this algorithm are also discussed.

Author: Alain Rakotomamonjy - Rémi Flamary - Nicolas Courty -



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