A Multicore Convex Optimization Algorithm with Applications to Video Restoration

The main result of the present theoretical paper is an original decomposition formula for the proximal operator of the sum of two proper, lower semicontinuous and convex functions f

An alternative approach to distributed optimization has been proposed in [8], [9], where the nodes exchange a small set of constraints at each iteration, and converge to a consensus

A proximal point method for difference of convex functions in multi-objective optimization with application to group dynamic problems... functions in multi-objective optimization

Buttari, A., Langou, J., Kurzak, J., Dongarra, J.: A class of parallel tiled linear algebra algorithms for multicore architectures. Quintana-Ort´ı, G., Quintana-Ort´ı, E.S., van

Index Terms —Switched linear systems, Piecewise affine sys- tems, System identification, Switched regression, Nonconvex op- timization, Nonsmooth optimization, DC programming, DCA..

In doing so, we put to the fore inertial proximal algorithms that converge for general monotone inclusions, and which, in the case of convex minimization, give fast convergence rates

Les rapports métaboliques (tNA/tCr, Cho/tNA et Cho/tCr) ont ensuite été calculés après correction du nombre de proton contribuant au signal estimé, et l'hypothèse d'une diérence

In Latin America, as elsewhere, apart from the ex- tensive effort to diagnose educational problems, little serious attention has in fact been given to the role of