Add to ORKGWe study the smoothing method for the solution of generalized semi-infinite optimization problems from (O. Stein, G. Still: Solving semi-infinite optimization problems with interior point techniques, SIAM J. Control Optim., 4
We extend the so-called approximate Karush-Kuhn-Tucker condition from a scalar optimization problem ...
In this paper we analyze an interior point method for solving perturbed Karush-Kuhn-Tucker systems ...
Convex vector (or multi-objective) semi-infinite optimization deals with the simultaneous minimizati...
Semi-infinite programming, KKT condition, Semismooth equations, Smoothing Newton method,
This note deals with a semi-infinite optimization problem which is defined by infinitely many inequa...
In this paper we apply the projected Newton-type algorithm to solve semi-infinite programming proble...
We consider a semismooth reformulation of the KKT system arising from the semi-infinite programming ...
Abstract. This paper is concerned with numerical methods for solving a semi-infinite programming pro...
Generalized semi-infinite optimization problems are optimization problems having infinitely many con...
Projet MODULEFWe propose an approach for the minimization of a smooth function under smooth equality...
Generalized semi-infinite optimization problems are optimization problems having infinitely many con...
We introduce a new numerical solution method for semi-infinite optimization problems with convex low...
In this paper, we analyze the outer approximation property of the algorithm for generalized semi-inf...
In this paper, we discuss the smoothing of an implicit function defined by a nonsmooth underdetermin...
We study convergence of a semismooth Newton method for generalized semi-infinite programming problem...
We extend the so-called approximate Karush-Kuhn-Tucker condition from a scalar optimization problem ...
In this paper we analyze an interior point method for solving perturbed Karush-Kuhn-Tucker systems ...
Convex vector (or multi-objective) semi-infinite optimization deals with the simultaneous minimizati...
Semi-infinite programming, KKT condition, Semismooth equations, Smoothing Newton method,
This note deals with a semi-infinite optimization problem which is defined by infinitely many inequa...
In this paper we apply the projected Newton-type algorithm to solve semi-infinite programming proble...
We consider a semismooth reformulation of the KKT system arising from the semi-infinite programming ...
Abstract. This paper is concerned with numerical methods for solving a semi-infinite programming pro...
Generalized semi-infinite optimization problems are optimization problems having infinitely many con...
Projet MODULEFWe propose an approach for the minimization of a smooth function under smooth equality...
Generalized semi-infinite optimization problems are optimization problems having infinitely many con...
We introduce a new numerical solution method for semi-infinite optimization problems with convex low...
In this paper, we analyze the outer approximation property of the algorithm for generalized semi-inf...
In this paper, we discuss the smoothing of an implicit function defined by a nonsmooth underdetermin...
We study convergence of a semismooth Newton method for generalized semi-infinite programming problem...
We extend the so-called approximate Karush-Kuhn-Tucker condition from a scalar optimization problem ...
In this paper we analyze an interior point method for solving perturbed Karush-Kuhn-Tucker systems ...
Convex vector (or multi-objective) semi-infinite optimization deals with the simultaneous minimizati...