Finite convergence of proximal-gradient inertial algorithms with dry friction damping

We will consider a splitting algorithm with the finite convergence property, in which the function to be minimized f intervenes via its gradient, and the potential friction function

We then establish the almost-sure convergence of the mini-batch version of the MCEM using an extension of the MISO framework when the surrogate functions are stochastic.. The

We establish some optimal a priori error estimate on some variants of the eXtended Finite Element Method (Xfem), namely the Xfem with a cut-off function and the stan- dard Xfem with

Our study complements the previous Attouch-Cabot paper (SIOPT, 2018) by introducing into the algorithm time scaling aspects, and sheds new light on the G¨ uler seminal papers on

The two contexts (globally and locally convex objective) are introduced in Section 3 as well as the rate of convergence in quadratic mean and the asymptotic normality of the

In conclusion, in rat diaphragm, diabetes type I induced complex mechanical and energetic changes, associated with improved resistances to fatigue and hypoxic condition that may

Nous avons appliqué le préchargement à plusieurs endroits dans le programme : à la fois dans les copies des blocs des matrices A et B pour masquer la latence entre le second niveau

It converges signicantly faster than batch K-Means during the rst training epochs (Darken.. black circles: online K-Means black squares: batch K-Means empty circles: online