The averaged alternating modified reflections algorithm is a projection method for finding the closest point in the intersection of closed and convex sets to a given point in a Hilbert space. In this work, we generalize the scheme so that it can be used to compute the resolvent of the sum of two maximally monotone operators. This gives rise to a new splitting method, which is proved to be strongly convergent. A standard product space reformulation permits to apply the method for computing the resolvent of a finite sum of maximally monotone operators. Based on this, we propose two variants of such parallel splitting method.This work was partially supported by Ministerio de Economía, Industria y Competitividad (MINECO) of Spain and European R...
AbstractIn this paper, the Resolvent–Projection algorithm for solving the variational inclusion 0∈M(...
AbstractIn this paper we introduce general iterative methods for finding zeros of a maximal monotone...
In this work, we study resolvent splitting algorithms for solving composite monotone inclusion probl...
The averaged alternating modified reflections algorithm is a projection method for finding the close...
AbstractLet H be a real Hilbert space and let T:H→2H be a maximal monotone operator. In this paper, ...
AbstractWe consider the problem of finding a best approximation pair, i.e., two points which achieve...
The averaged alternating modified reflections (AAMR) method is a projection algorithm for finding th...
Our purpose of this study is to construct an algorithm for finding a zero of the sum of two maximall...
Finding a zero of the sum of two maximally monotone operators is of fundamental importance in variat...
Monotone operators and firmly nonexpansive mappings are essential to modern optimization and fixed p...
AbstractThis paper considers the problem of finding a zero of the sum of a single-valued Lipschitz c...
In this work, we study fixed point algorithms for finding a zero in the sum of $n\geq 2$ maximally m...
In this paper we present a new iterative projection method for finding the closest point in the inte...
AbstractThe problem of finding the zeros of the sum of two maximally monotone operators is of fundam...
We propose a flexible approach for computing the resolvent of the sum of weakly monotone operators i...
AbstractIn this paper, the Resolvent–Projection algorithm for solving the variational inclusion 0∈M(...
AbstractIn this paper we introduce general iterative methods for finding zeros of a maximal monotone...
In this work, we study resolvent splitting algorithms for solving composite monotone inclusion probl...
The averaged alternating modified reflections algorithm is a projection method for finding the close...
AbstractLet H be a real Hilbert space and let T:H→2H be a maximal monotone operator. In this paper, ...
AbstractWe consider the problem of finding a best approximation pair, i.e., two points which achieve...
The averaged alternating modified reflections (AAMR) method is a projection algorithm for finding th...
Our purpose of this study is to construct an algorithm for finding a zero of the sum of two maximall...
Finding a zero of the sum of two maximally monotone operators is of fundamental importance in variat...
Monotone operators and firmly nonexpansive mappings are essential to modern optimization and fixed p...
AbstractThis paper considers the problem of finding a zero of the sum of a single-valued Lipschitz c...
In this work, we study fixed point algorithms for finding a zero in the sum of $n\geq 2$ maximally m...
In this paper we present a new iterative projection method for finding the closest point in the inte...
AbstractThe problem of finding the zeros of the sum of two maximally monotone operators is of fundam...
We propose a flexible approach for computing the resolvent of the sum of weakly monotone operators i...
AbstractIn this paper, the Resolvent–Projection algorithm for solving the variational inclusion 0∈M(...
AbstractIn this paper we introduce general iterative methods for finding zeros of a maximal monotone...
In this work, we study resolvent splitting algorithms for solving composite monotone inclusion probl...