In this work, we develop a systematic framework for computing the resolvent of the sum of two or more monotone operators which only activates each operator in the sum individually. The key tool in the development of this framework is the notion of the “strengthening” of a set-valued operator, which can be viewed as a type of regularisation that preserves computational tractability. After deriving a number of iterative schemes through this framework, we demonstrate their application to best approximation problems, image denoising and elliptic PDEs.FJAA and RC were partially supported by the Ministry of Science, Innovation and Universities of Spain and the European Regional Development Fund (ERDF) of the European Commission, Grant PGC2018-097...
Operator splitting methods have been recently concerned with inclusions problems based on composite ...
International audienceThis paper introduces a generalized forward-backward splitting algorithm for f...
International audienceWe propose a primal-dual splitting algorithm for solving monotone inclusions i...
The averaged alternating modified reflections algorithm is a projection method for finding the close...
The resolvent is a fundamental concept in studying various operator splitting algorithms. In this pa...
Resolvents of operators are the core of many fundamental algorithms used in optimization. However th...
Abstract Splitting algorithms for finding a zero of sum of operators often involve multiple steps wh...
We propose a new algorithm for finding a zero of the sum of two monotone operators. It works by only...
Total variation image denoising models have received considerable attention in the last two decades....
We propose a flexible approach for computing the resolvent of the sum of weakly monotone operators i...
In this paper we propose an algorithm for solving systems of coupled monotone inclusions in Hilbert ...
International audienceWe present a new primal-dual splitting algorithm for structured monotone inclu...
International audienceWe present a preconditioning of a generalized forward-backward splitting algor...
Many structured convex minimization problems can be modeled by the search of a zero of the sum of tw...
In this work, we study fixed point algorithms for finding a zero in the sum of $n\geq 2$ maximally m...
Operator splitting methods have been recently concerned with inclusions problems based on composite ...
International audienceThis paper introduces a generalized forward-backward splitting algorithm for f...
International audienceWe propose a primal-dual splitting algorithm for solving monotone inclusions i...
The averaged alternating modified reflections algorithm is a projection method for finding the close...
The resolvent is a fundamental concept in studying various operator splitting algorithms. In this pa...
Resolvents of operators are the core of many fundamental algorithms used in optimization. However th...
Abstract Splitting algorithms for finding a zero of sum of operators often involve multiple steps wh...
We propose a new algorithm for finding a zero of the sum of two monotone operators. It works by only...
Total variation image denoising models have received considerable attention in the last two decades....
We propose a flexible approach for computing the resolvent of the sum of weakly monotone operators i...
In this paper we propose an algorithm for solving systems of coupled monotone inclusions in Hilbert ...
International audienceWe present a new primal-dual splitting algorithm for structured monotone inclu...
International audienceWe present a preconditioning of a generalized forward-backward splitting algor...
Many structured convex minimization problems can be modeled by the search of a zero of the sum of tw...
In this work, we study fixed point algorithms for finding a zero in the sum of $n\geq 2$ maximally m...
Operator splitting methods have been recently concerned with inclusions problems based on composite ...
International audienceThis paper introduces a generalized forward-backward splitting algorithm for f...
International audienceWe propose a primal-dual splitting algorithm for solving monotone inclusions i...