Generalized semi-infinite optimization problems (GSIP) are considered. The difference between GSIP and standard semi-infinite problems (SIP) is illustrated by examples. By applying the `Reduction Ansatz', optimality conditions for GSIP are derived. Numerical methods for solving GSIP are considered in comparison with methods for SIP. From a theoretical and a practical point of view it is investigated, under which assumptions a GSIP can be transformed into an SIP
International audienceThis article deals with a generalized semi-infinite programming problem (S). U...
Generalized semi-infinite programming, extended Mangasarian-Fromovitz, Kuhn-Tucker and Abadie constr...
Abstract. This paper concerns applications of advanced techniques of variational analysis and genera...
Generalized semi-infinite optimization problems (GSIP) are considered. It is investigated how the nu...
This tutorial presents an introduction to generalized semi-infinite programming (GSIP) which in rece...
AbstractThis tutorial presents an introduction to generalized semi-infinite programming (GSIP) which...
A semi-infinite programming problem is an optimization problem in which finitely many variables appe...
This paper surveys some basic properties of the class of generalized semi-infinite programming probl...
The paper studies the connections and differences between bilevel problems (BL) and generalized semi...
In this paper, we analyze the outer approximation property of the algorithm for generalized semi-inf...
Optimisation problems occur in many branches of science, engineering, and economics, as well as in o...
We consider a generalized semi-infinite optimization problem (GSIP) of the form (GSIP) min{f(x) $x (...
Abstract. Semi-infinite programming (SIP) problems can be efficiently solved by reduction type metho...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2008.Includes...
The feasible set M in Generalized Semi-Infinite Programming (GSIP) need not to be closed. Under the ...
International audienceThis article deals with a generalized semi-infinite programming problem (S). U...
Generalized semi-infinite programming, extended Mangasarian-Fromovitz, Kuhn-Tucker and Abadie constr...
Abstract. This paper concerns applications of advanced techniques of variational analysis and genera...
Generalized semi-infinite optimization problems (GSIP) are considered. It is investigated how the nu...
This tutorial presents an introduction to generalized semi-infinite programming (GSIP) which in rece...
AbstractThis tutorial presents an introduction to generalized semi-infinite programming (GSIP) which...
A semi-infinite programming problem is an optimization problem in which finitely many variables appe...
This paper surveys some basic properties of the class of generalized semi-infinite programming probl...
The paper studies the connections and differences between bilevel problems (BL) and generalized semi...
In this paper, we analyze the outer approximation property of the algorithm for generalized semi-inf...
Optimisation problems occur in many branches of science, engineering, and economics, as well as in o...
We consider a generalized semi-infinite optimization problem (GSIP) of the form (GSIP) min{f(x) $x (...
Abstract. Semi-infinite programming (SIP) problems can be efficiently solved by reduction type metho...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2008.Includes...
The feasible set M in Generalized Semi-Infinite Programming (GSIP) need not to be closed. Under the ...
International audienceThis article deals with a generalized semi-infinite programming problem (S). U...
Generalized semi-infinite programming, extended Mangasarian-Fromovitz, Kuhn-Tucker and Abadie constr...
Abstract. This paper concerns applications of advanced techniques of variational analysis and genera...