activity
20082026
most citedA Proximal Decomposition Method for Solving Convex Variational Inverse Problems

208 citations · 557 across the 57 of their papers we have counts for

collaborators

73 papers

math.PR2026

Almost Supermartingale Extensions of Olivier's Theorem

Patrick L. Combettes, Javier I. Madariaga

Olivier's 1827 theorem provides a rate of convergence to zero of the general term of a decreasing summable sequence of positive reals. We derive stochastic extensions of this resul…

math.OC2025

Asymptotic Analysis of an Abstract Stochastic Scheme for Solving Monotone Inclusions

Patrick L. Combettes, Javier I. Madariaga

We propose an abstract stochastic scheme for solving a broad class of monotone operator inclusion problems in Hilbert spaces. It is based on a reduced inclusion model with two oper…

math.OC2025

Lower Bounds on the Haraux Function

Patrick L. Combettes, Julien N. Mayrand

The Haraux function is an important tool in monotone operator theory and its applications. One of its salient properties for a maximally monotone operator is to be valued in $[0,+\…

math.OC2025

A Geometric Framework for Stochastic Iterations

Patrick L. Combettes, Javier I. Madariaga

This paper concerns models and convergence principles for dealing with stochasticity in a wide range of algorithms arising in nonlinear analysis and optimization in Hilbert spaces.…

math.OC2024

Variational Analysis of Proximal Compositions and Integral Proximal Mixtures

Patrick L. Combettes, Diego J. Cornejo

This paper establishes various variational properties of parametrized versions of two convexity-preserving constructs that were recently introduced in the literature: the proximal…

math.OC2024

Almost-Surely Convergent Randomly Activated Monotone Operator Splitting Methods

Patrick L. Combettes, Javier I. Madariaga

We propose stochastic splitting algorithms for solving large-scale composite inclusion problems involving monotone and linear operators. They activate at each iteration blocks of r…