In a Hilbert space H, we introduce a new class of proximal-gradient algorithms with finite convergence properties. These algorithms naturally occur as discrete temporal versions of an inertial differential inclusion which is damped under the joint action of three dampings: a viscous damping, a geometric damping driven by the Hessian and a dry friction damping. The function f : H → R to be minimized is supposed to be differentiable (not necessarily convex), and enters the algorithm via its gradient. The dry friction damping function φ : H → R + is convex with a sharp minimum at the origin, (typically φ(x) = r x with r > 0). It enters the algorithm via its proximal mapping, which acts as a soft threshold operator on the velocities. The geomet...
International audienceWe introduce a new class of forward-backward algorithms for structured convex ...
We propose and study the convergence properties of the trajectories generated by a damped inertial d...
In a Hilbert space setting, the authors recently introduced a general class of relaxed inertial prox...
In a Hilbert space H, we introduce a new class of proximal-gradient algorithms with finite convergen...
In a Hilbert space $H$, based on inertial dynamics with dry friction damping, we introduce a new cla...
In a Hilbert space setting, we consider a new first order optimization algorithm which is obtained b...
In a Hilbert space setting, for convex optimization, we analyze the convergence rate of a class of f...
International audienceIn a Hilbert space setting, for convex optimization, we analyze the convergenc...
In a Hilbert space setting, for convex optimization, we show the convergence of the iterates to opti...
In a Hilbert space H, we study the stabilization in finite time of the trajectories generated by a c...
International audienceIn a Hilbert framework, for general convex differentiable optimization, we con...
In a Hilbert space setting, in order to develop fast first-order methods for convex optimization, we...
First-order optimization algorithms can be considered as a discretization of ordinary differential e...
International audienceSecond-order continuous-time dissipative dynamical systems with viscous and He...
summary:In this paper, we study the strong convergence of the proximal gradient algorithm with inert...
International audienceWe introduce a new class of forward-backward algorithms for structured convex ...
We propose and study the convergence properties of the trajectories generated by a damped inertial d...
In a Hilbert space setting, the authors recently introduced a general class of relaxed inertial prox...
In a Hilbert space H, we introduce a new class of proximal-gradient algorithms with finite convergen...
In a Hilbert space $H$, based on inertial dynamics with dry friction damping, we introduce a new cla...
In a Hilbert space setting, we consider a new first order optimization algorithm which is obtained b...
In a Hilbert space setting, for convex optimization, we analyze the convergence rate of a class of f...
International audienceIn a Hilbert space setting, for convex optimization, we analyze the convergenc...
In a Hilbert space setting, for convex optimization, we show the convergence of the iterates to opti...
In a Hilbert space H, we study the stabilization in finite time of the trajectories generated by a c...
International audienceIn a Hilbert framework, for general convex differentiable optimization, we con...
In a Hilbert space setting, in order to develop fast first-order methods for convex optimization, we...
First-order optimization algorithms can be considered as a discretization of ordinary differential e...
International audienceSecond-order continuous-time dissipative dynamical systems with viscous and He...
summary:In this paper, we study the strong convergence of the proximal gradient algorithm with inert...
International audienceWe introduce a new class of forward-backward algorithms for structured convex ...
We propose and study the convergence properties of the trajectories generated by a damped inertial d...
In a Hilbert space setting, the authors recently introduced a general class of relaxed inertial prox...