Abstract. The problem of finding the singularities of monotone vectors fields on Hadamard manifolds will be considered and solved by extending the well-known proximal point algo-rithm. For monotone vector fields the algorithm will generate a well defined sequence, and for monotone vector fields with singularities it will converge to a singularity. It will also be shown how tools of convex analysis on Riemannian manifolds can solve non-convex con-strained problems in Euclidean spaces. To illustrate this remarkable fact examples will be given. 1
In this thesis, we present an inexact proximal point algorithm to solve quasiconvex optimization pro...
In this paper we consider the minimization problem with constraints. We will show that if the set of...
The Proximal Point Algorithm (PPA) is a method for solving inclusions of the form 0 2 T (z) where T ...
Abstract. Bearing in mind the notion of monotone vector field on Riemannian manifolds, see [12–16], ...
International audienceWe propose an inertial proximal point method for variational inclusion involvi...
International audienceWe propose an inertial proximal point method for variational inclusion involvi...
International audienceWe propose an inertial proximal point method for variational inclusion involvi...
Abstract The purpose of this paper is to propose a modified proximal point algorithm for solving min...
In the present paper, we consider inexact proximal point algorithms for finding singular points of m...
The relationship between monotonicity and accretivity on Riemannian manifolds is studied in this pap...
Following the works of R.T. Rockafellar, to search for a zero of a maximal monotone operator, and of...
This paper briefly surveys some recent advances in the investigation of nonexpansive mappings and mo...
International audienceThe standard algorithms for solving large-scale convex–concave saddle point pr...
International audienceThe standard algorithms for solving large-scale convex–concave saddle point pr...
In this paper we propose an extension of the proximal point method to solve minimization problems wi...
In this thesis, we present an inexact proximal point algorithm to solve quasiconvex optimization pro...
In this paper we consider the minimization problem with constraints. We will show that if the set of...
The Proximal Point Algorithm (PPA) is a method for solving inclusions of the form 0 2 T (z) where T ...
Abstract. Bearing in mind the notion of monotone vector field on Riemannian manifolds, see [12–16], ...
International audienceWe propose an inertial proximal point method for variational inclusion involvi...
International audienceWe propose an inertial proximal point method for variational inclusion involvi...
International audienceWe propose an inertial proximal point method for variational inclusion involvi...
Abstract The purpose of this paper is to propose a modified proximal point algorithm for solving min...
In the present paper, we consider inexact proximal point algorithms for finding singular points of m...
The relationship between monotonicity and accretivity on Riemannian manifolds is studied in this pap...
Following the works of R.T. Rockafellar, to search for a zero of a maximal monotone operator, and of...
This paper briefly surveys some recent advances in the investigation of nonexpansive mappings and mo...
International audienceThe standard algorithms for solving large-scale convex–concave saddle point pr...
International audienceThe standard algorithms for solving large-scale convex–concave saddle point pr...
In this paper we propose an extension of the proximal point method to solve minimization problems wi...
In this thesis, we present an inexact proximal point algorithm to solve quasiconvex optimization pro...
In this paper we consider the minimization problem with constraints. We will show that if the set of...
The Proximal Point Algorithm (PPA) is a method for solving inclusions of the form 0 2 T (z) where T ...