Our purpose of this study is to construct an algorithm for finding a zero of the sum of two maximally monotone mappings in Hilbert spaces and discus its convergence. The assumption that one of the mappings is α-inverse strongly monotone is dispensed with. In addition, we give some applications to the minimization problem. Our method of proof is of independent interest. Finally, a numerical example which supports our main result is presented. Our theorems improve and unify most of the results that have been proved for this important class of nonlinear mappings
In this paper, using a new shrinking projection method and generalized resolvents of maximal monoton...
Cette thèse est consacrée à la résolution d'un problème fondamental de l'analyse variationnelle qu'e...
This paper aims to obtain a strong convergence result for a Douglas–Rachford splitting method with i...
AbstractLet H be a real Hilbert space and let T:H→2H be a maximal monotone operator. In this paper, ...
AbstractThis paper considers the problem of finding a zero of the sum of a single-valued Lipschitz c...
It is well known that many problems in image recovery, signal processing, and machine learning can b...
summary:We introduce an iterative sequence for finding the common element of the set of fixed points...
In this paper, we study an approximation method for mappings of type (P) [2], (Q) [2, 20], and (R) [...
Abstract. Let C be a closed convex subset of a real Hilbert space H. Let A be an inverse-strongly mo...
The averaged alternating modified reflections algorithm is a projection method for finding the close...
AbstractThe problem of finding the zeros of the sum of two maximally monotone operators is of fundam...
AbstractIn this paper we introduce general iterative methods for finding zeros of a maximal monotone...
AbstractA generalization to Rockafellar’s theorem (1976) in the context of approximating a solution ...
Abstract. In this paper, to find a common element of the fixed point set of common fixed points of a...
In this note we show that the splitting scheme of Passty [7] as well as the barycentric-proximal met...
In this paper, using a new shrinking projection method and generalized resolvents of maximal monoton...
Cette thèse est consacrée à la résolution d'un problème fondamental de l'analyse variationnelle qu'e...
This paper aims to obtain a strong convergence result for a Douglas–Rachford splitting method with i...
AbstractLet H be a real Hilbert space and let T:H→2H be a maximal monotone operator. In this paper, ...
AbstractThis paper considers the problem of finding a zero of the sum of a single-valued Lipschitz c...
It is well known that many problems in image recovery, signal processing, and machine learning can b...
summary:We introduce an iterative sequence for finding the common element of the set of fixed points...
In this paper, we study an approximation method for mappings of type (P) [2], (Q) [2, 20], and (R) [...
Abstract. Let C be a closed convex subset of a real Hilbert space H. Let A be an inverse-strongly mo...
The averaged alternating modified reflections algorithm is a projection method for finding the close...
AbstractThe problem of finding the zeros of the sum of two maximally monotone operators is of fundam...
AbstractIn this paper we introduce general iterative methods for finding zeros of a maximal monotone...
AbstractA generalization to Rockafellar’s theorem (1976) in the context of approximating a solution ...
Abstract. In this paper, to find a common element of the fixed point set of common fixed points of a...
In this note we show that the splitting scheme of Passty [7] as well as the barycentric-proximal met...
In this paper, using a new shrinking projection method and generalized resolvents of maximal monoton...
Cette thèse est consacrée à la résolution d'un problème fondamental de l'analyse variationnelle qu'e...
This paper aims to obtain a strong convergence result for a Douglas–Rachford splitting method with i...