In this paper, we introduce the notion of hybrid procedures for solving a system of linear equations. A hybrid procedure consists in a combination of two arbitrary approximate solutions with coefficients summing up to one. Thus the combination only depends on one parameter whose value is chosen in order to minimize the Euclidean norm of the residual vector obtained by the hybrid procedure. Properties of such procedures are studied in detail. The two approximate solutions which are combined in a hybrid procedure are usually obtained by two iterative methods. Several strategies for combining these two methods together or with the previous iterate of the hybrid procedure itself are discussed and their properties are analyzed. Numerical experim...
Optimization problems for hybrid systems have attracted a lot of attention in recent years. This in...
AbstractThe purpose of this paper is to report on recent efforts to utilize hybrid computers for the...
The paper proposes an iterative approach for linear system solving, rooted in the approximation solu...
The aim of this paper is to discuss the acceleration properties of the hybrid procedure for solving ...
Hybrid methods have always been one of the most intriguing directions in these ten to fifteen years ...
International audienceIn this article, we describe some recent results on the hybridization methods ...
Abstract: A class of positive hybrid linear systems is introduced. Three different methods for compu...
We propose in this article a classification of the different notions of hybridization and a generic ...
We propose in this article a classification of the different notions of hybridization and a generic ...
Abstract. Hybrid GMRES algorithms are effective for solving large nonsymmetric linear systems. GMRES...
A class of positive hybrid linear systems is introduced. Three different methods for computation of ...
International audienceWe propose in this article a classification of the different notions of hybrid...
AbstractWe present in this paper hybrid and semi-hybrid vector extrapolation methods. For a vector s...
This paper proposes a modified hybrid method for solving non-linear equations that improves computat...
Abstract—Taking into account that many problems of natural sciences and engineering are reduced to s...
Optimization problems for hybrid systems have attracted a lot of attention in recent years. This in...
AbstractThe purpose of this paper is to report on recent efforts to utilize hybrid computers for the...
The paper proposes an iterative approach for linear system solving, rooted in the approximation solu...
The aim of this paper is to discuss the acceleration properties of the hybrid procedure for solving ...
Hybrid methods have always been one of the most intriguing directions in these ten to fifteen years ...
International audienceIn this article, we describe some recent results on the hybridization methods ...
Abstract: A class of positive hybrid linear systems is introduced. Three different methods for compu...
We propose in this article a classification of the different notions of hybridization and a generic ...
We propose in this article a classification of the different notions of hybridization and a generic ...
Abstract. Hybrid GMRES algorithms are effective for solving large nonsymmetric linear systems. GMRES...
A class of positive hybrid linear systems is introduced. Three different methods for computation of ...
International audienceWe propose in this article a classification of the different notions of hybrid...
AbstractWe present in this paper hybrid and semi-hybrid vector extrapolation methods. For a vector s...
This paper proposes a modified hybrid method for solving non-linear equations that improves computat...
Abstract—Taking into account that many problems of natural sciences and engineering are reduced to s...
Optimization problems for hybrid systems have attracted a lot of attention in recent years. This in...
AbstractThe purpose of this paper is to report on recent efforts to utilize hybrid computers for the...
The paper proposes an iterative approach for linear system solving, rooted in the approximation solu...