activity
20162024
most citedAccelerated gradient methods with strong convergence to the minimum norm minimizer: a dynamic approach combining time scaling, averaging, and Tikhonov regularization

2 citations · 5 across the 12 of their papers we have counts for

collaborators

13 papers

math.OC2024

Asymptotic behavior of the Arrow-Hurwicz differential system with Tikhonov regularization

Fouad Battahi, Zaki Chbani, Simon K. Niederländer +1

In a real Hilbert space setting, we investigate the asymptotic behavior of the solutions of the classical Arrow-Hurwicz differential system combined with Tikhonov regularizing term…

math.OC2024

Strong convergence towards the minimum norm solution via temporal scaling and Tikhonov approximation of a first-order dynamical system

A. C. Bagy, Z. Chbani, H. Riahi

Given a proper convex lower semicontinuous function defined on a Hilbert space and whose solution set is supposed nonempty. For attaining a global minimizer when this convex functi…

math.OC2023

Combining Strong Convergence, Values Fast Convergence and Vanishing of Gradients for a Proximal Point Algorithm Using Tikhonov Regularization in a Hilbert Space

A. C. Bagy, Z. Chbani, H. Riahi

In a real Hilbert space . Given any function convex differentiable whose solution set is nonempty, by considering the Proximal Algorithm…

math.OC2022★ 2 cited

Accelerated gradient methods with strong convergence to the minimum norm minimizer: a dynamic approach combining time scaling, averaging, and Tikhonov regularization

Hedy Attouch, Zaki Chbani, Hassan Riahi

In a Hilbert framework, for convex differentiable optimization, we consider accelerated gradient methods obtained by combining temporal scaling and averaging techniques with Tikhon…

math.OC2022★ 1 cited

Accelerated gradient methods combining Tikhonov regularization with geometric damping driven by the Hessian

Hedy Attouch, Aicha Balhag, Zaki Chbani +1

In a Hilbert setting, for convex differentiable optimization, we consider accelerated gradient dynamics combining Tikhonov regularization with Hessian-driven damping. The Tikhonov…

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★ 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…

math.OC2020

Fast convex optimization via inertial dynamics combining viscous and Hessian-driven damping with time rescaling

Hedy Attouch, Aicha Balhag, Zaki Chbani +1

In a Hilbert setting, we develop fast methods for convex unconstrained optimization. We rely on the asymptotic behavior of an inertial system combining geometric damping with tempo…

math.OC2020

Fast convex optimization via a third-order in time evolution equation: TOGES-V an improved version of TOGES

Hedy Attouch, Zaki Chbani, Hassan Riahi

In a Hilbert space setting H, for convex optimization, we analyze the fast convergence properties as t tends to infinity of the trajectories generated by a third-order in time evol…

math.OC2019

First-order optimization algorithms via inertial systems with Hessian driven damping

Hedy Attouch, Zaki Chbani, Jalal Fadili +1

In a Hilbert space setting, for convex optimization, we analyze the convergence rate of a class of first-order algorithms involving inertial features. They can be interpreted as di…

math.OC2017★ 1 cited

Rate of convergence of the Nesterov accelerated gradient method in the subcritical case

Hedy Attouch, Zaki Chbani, Hassan Riahi

In a Hilbert space setting , given a convex continuously differentiable function, and a positive parameter, we consider the inertial s…

math.OC2016

Combining fast inertial dynamics for convex optimization with Tikhonov regularization

Hedy Attouch, Zaki Chbani

In a Hilbert space setting , we study the convergence properties as of the trajectories of the second-order differential equation \begin{equation*} \mb…