Search Results - "Erno, Robert"
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Fast optimization via inertial dynamics with closed-loop damping
Published in Journal of the European Mathematical Society : JEMS (01-01-2023)“…In a real Hilbert space \mathcal{H} , in order to develop fast optimization methods, we analyze the asymptotic behavior, as time t tends to infinity, of a…”
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An inertial forward-backward-forward primal-dual splitting algorithm for solving monotone inclusion problems
Published in Numerical algorithms (01-03-2016)“…We introduce and investigate the convergence properties of an inertial forward-backward-forward splitting algorithm for approaching the set of zeros of the sum…”
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Continuous Dynamics Related to Monotone Inclusions and Non-Smooth Optimization Problems
Published in Set-valued and variational analysis (01-12-2020)“…The aim of this survey is to present the main important techniques and tools from variational analysis used for first and second order dynamical systems of…”
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Inertial Douglas–Rachford splitting for monotone inclusion problems
Published in Applied mathematics and computation (01-04-2015)“…We propose an inertial Douglas–Rachford splitting algorithm for finding the set of zeros of the sum of two maximally monotone operators in Hilbert spaces and…”
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An Inertial Tseng’s Type Proximal Algorithm for Nonsmooth and Nonconvex Optimization Problems
Published in Journal of optimization theory and applications (01-11-2016)“…We investigate the convergence of a forward–backward–forward proximal-type algorithm with inertial and memory effects when minimizing the sum of a nonsmooth…”
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An accelerated minimax algorithm for convex-concave saddle point problems with nonsmooth coupling function
Published in Computational optimization and applications (01-12-2023)“…In this work we aim to solve a convex-concave saddle point problem, where the convex-concave coupling function is smooth in one variable and nonsmooth in the…”
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Second Order Dynamics Featuring Tikhonov Regularization and Time Scaling
Published in Journal of optimization theory and applications (2024)“…In a Hilbert setting we aim to study a second order in time differential equation, combining viscous and Hessian-driven damping, containing a time scaling…”
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Shadow Douglas–Rachford Splitting for Monotone Inclusions
Published in Applied mathematics & optimization (01-12-2019)“…In this work, we propose a new algorithm for finding a zero of the sum of two monotone operators where one is assumed to be single-valued and Lipschitz…”
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On the convergence rate improvement of a primal-dual splitting algorithm for solving monotone inclusion problems
Published in Mathematical programming (01-05-2015)“…We present two modified versions of the primal-dual splitting algorithm relying on forward–backward splitting proposed in V u ~ (Adv Comput Math 38(3):667–681,…”
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10
ADMM for monotone operators: convergence analysis and rates
Published in Advances in computational mathematics (05-02-2019)“…We propose in this paper a unifying scheme for several algorithms from the literature dedicated to the solving of monotone inclusion problems involving…”
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An inertial forward–backward algorithm for the minimization of the sum of two nonconvex functions
Published in EURO journal on computational optimization (01-02-2016)“…We propose a forward–backward proximal-type algorithm with inertial/memory effects for minimizing the sum of a nonsmooth function with a smooth one in the…”
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A Dynamical Approach to Two-Block Separable Convex Optimization Problems with Linear Constraints
Published in Numerical functional analysis and optimization (13-11-2020)“…The aim of this manuscript is to approach by means of first order differential equations/inclusions convex programming problems with two-block separable linear…”
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A primal-dual dynamical approach to structured convex minimization problems
Published in Journal of Differential Equations (05-12-2020)“…In this paper we propose a primal-dual dynamical approach to the minimization of a structured convex function consisting of a smooth term, a nonsmooth term,…”
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14
A Dynamical System Associated with the Fixed Points Set of a Nonexpansive Operator
Published in Journal of dynamics and differential equations (01-03-2017)“…We study the existence and uniqueness of (locally) absolutely continuous trajectories of a dynamical system governed by a nonexpansive operator. The weak…”
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15
Fast Augmented Lagrangian Method in the convex regime with convergence guarantees for the iterates
Published in Mathematical programming (01-06-2023)“…This work aims to minimize a continuously differentiable convex function with Lipschitz continuous gradient under linear equality constraints. The proposed…”
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16
A Hybrid Proximal-Extragradient Algorithm with Inertial Effects
Published in Numerical functional analysis and optimization (03-08-2015)“…In this article, we incorporate inertial terms in the hybrid proximal-extragradient algorithm and investigate the convergence properties of the resulting…”
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The Proximal Alternating Minimization Algorithm for Two-Block Separable Convex Optimization Problems with Linear Constraints
Published in Journal of optimization theory and applications (01-07-2019)“…The Alternating Minimization Algorithm has been proposed by Paul Tseng to solve convex programming problems with two-block separable linear constraints and…”
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18
A second-order dynamical system with Hessian-driven damping and penalty term associated to variational inequalities
Published in Optimization (03-07-2019)“…We consider the minimization of a convex objective function subject to the set of minima of another convex function, under the assumption that both functions…”
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Gradient-type penalty method with inertial effects for solving constrained convex optimization problems with smooth data
Published in Optimization letters (01-01-2018)“…We consider the problem of minimizing a smooth convex objective function subject to the set of minima of another differentiable convex function. In order to…”
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An Inertial Proximal-Gradient Penalization Scheme for Constrained Convex Optimization Problems
Published in Vietnam journal of mathematics (2018)“…We propose a proximal-gradient algorithm with penalization terms and inertial and memory effects for minimizing the sum of a proper, convex, and lower…”
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