This paper explores the continuous realizations of iterative processes emanating from interior point optimization algorithms, and their connection with nonlinear singularly-perturbed ordinary differential equations. This mathematical connection provides a theoretical framework for the analysis of the dynamical properties long known and exploited in interior point-based optimization techniques. In addition, this connection is used to show that the logarithmic barrier function is indeed, in some sense, optimu
International audienceIn this paper, we propose a modified primal-dual interior-point method for non...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
This paper explores the continuous realizations of iterative processes emanating from interior point...
This article provides a condensed overview of some of the major today's features (both classical or ...
This article describes the current state of the art of interior-point methods (IPMs) for convex, con...
Interior Point algorithms are optimization methods developed over the last three decades following t...
AbstractIn this paper, we present a new barrier function for primal–dual interior-point methods in l...
Projet MODULEFWe propose an approach for the minimization of a smooth function under smooth equality...
Recently primal-dual interior-point methodology has proven to be an effective tool in linear program...
We study the local convergence of a primal-dual interior point method for nonlinear programming. A l...
International audienceIn nonlinear optimization, interior point methods, also called primal-dual met...
This article describes the current state of the art of interior-point methods (IPMs)for convex, coni...
In the past fifteen years, research on Interior Point Methods (IPM) and their applications were ver...
1 Introduction Since their discovery [1] interior point methods (IPMs) have enjoyed well-deser-ved i...
International audienceIn this paper, we propose a modified primal-dual interior-point method for non...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
This paper explores the continuous realizations of iterative processes emanating from interior point...
This article provides a condensed overview of some of the major today's features (both classical or ...
This article describes the current state of the art of interior-point methods (IPMs) for convex, con...
Interior Point algorithms are optimization methods developed over the last three decades following t...
AbstractIn this paper, we present a new barrier function for primal–dual interior-point methods in l...
Projet MODULEFWe propose an approach for the minimization of a smooth function under smooth equality...
Recently primal-dual interior-point methodology has proven to be an effective tool in linear program...
We study the local convergence of a primal-dual interior point method for nonlinear programming. A l...
International audienceIn nonlinear optimization, interior point methods, also called primal-dual met...
This article describes the current state of the art of interior-point methods (IPMs)for convex, coni...
In the past fifteen years, research on Interior Point Methods (IPM) and their applications were ver...
1 Introduction Since their discovery [1] interior point methods (IPMs) have enjoyed well-deser-ved i...
International audienceIn this paper, we propose a modified primal-dual interior-point method for non...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
During the last fifteen years we have witnessed an explosive development in the area of optimization...