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20082025
most citedThe rate of convergence of Nesterov's accelerated forward-backward method is actually faster than

286 citations · 374 across the 36 of their papers we have counts for

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Showing 2021 · math.OCShow all

5 papers · 2 filters

math.OC2021

Damped inertial dynamics with vanishing Tikhonov regularization: strong asymptotic convergence towards the minimum norm solution

Hedy Attouch, Aicha Balhag, Zaki Chbani +1

In a Hilbert space, we provide a fast dynamic approach to the hierarchical minimization problem which consists in finding the minimum norm solution of a convex minimization problem…

math.OC2021

Convergence of iterates for first-order optimization algorithms with inertia and Hessian driven damping

Hedy Attouch, Zaki Chbani, Jalal Fadili +1

In a Hilbert space setting, for convex optimization, we show the convergence of the iterates to optimal solutions for a class of accelerated first-order algorithms. They can be int…

math.OC2021

On the effect of perturbations in first-order optimization methods with inertia and Hessian driven damping

Hedy Attouch, Jalal Fadili, Vyacheslav Kungurtsev

Second-order continuous-time dissipative dynamical systems with viscous and Hessian driven damping have inspired effective first-order algorithms for solving convex optimization pr…

math.OC2021★ 8 cited

Convex optimization via inertial algorithms with vanishing Tikhonov regularization: fast convergence to the minimum norm solution

Hedy Attouch, Szilard Laszlo

In a Hilbertian framework, for the minimization of a general convex differentiable function , we introduce new inertial dynamics and algorithms that generate trajectories and it…

math.OC2021★ 1 cited

Fast convergence of dynamical ADMM via time scaling of damped inertial dynamics

Hedy Attouch, Zaki Chbani, Jalal Fadili +1

In this paper, we propose in a Hilbertian setting a second-order time-continuous dynamic system with fast convergence guarantees to solve structured convex minimization problems wi…