This paper provides a review of numerical methods for the solution of smooth semiinfinite programming problems. Fundamental and partly new results on level sets, discretization, and local reduction are presented in a primary section. References to algorithms for real and complex continuous Chebyshev approximation are given for historical reasons and in order to point out connections. (orig.)Available from TIB Hannover: RR 7760(1998,2) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman
Abstract. Semi-infinite programming (SIP) problems can be efficiently solved by reduction type metho...
In this paper, we develop a discretisation algorithm with an adaptive scheme for solving a class of ...
We present a new reduction-type method for solving semi-infinite programming problems, where the mul...
SIGLEAvailable from TIB Hannover: RR 7760(1998,7) / FIZ - Fachinformationszzentrum Karlsruhe / TIB -...
AbstractThe paper starts with a simple model and convergence theorem for outer approximation methods...
A semi-infinite programming problem is an optimization problem in which finitely many variables appe...
The aim of this work is to give an overview of methods for solving linear semi-infinite programming ...
Generalized semi-infinite optimization problems (GSIP) are considered. It is investigated how the nu...
In this paper we present some semismooth Newton methods for solving the semi-infinite programming pr...
We present a reduction type algorithm for solving nonlinear semi-infinite programming problems. The ...
To solve nonlinear semi-infinite programming problems we use a global reduction method. The method r...
We introduce a new numerical solution method for semi-infinite optimization problems with convex low...
Abstract: A semi-infnite program is the task of minimising a function of fnitely many variables subj...
We present a reduction method for solving semi-infinite programming problems based on simulated anne...
The discretization approach for solving semi-infinite optimization problems is considered. We are in...
Abstract. Semi-infinite programming (SIP) problems can be efficiently solved by reduction type metho...
In this paper, we develop a discretisation algorithm with an adaptive scheme for solving a class of ...
We present a new reduction-type method for solving semi-infinite programming problems, where the mul...
SIGLEAvailable from TIB Hannover: RR 7760(1998,7) / FIZ - Fachinformationszzentrum Karlsruhe / TIB -...
AbstractThe paper starts with a simple model and convergence theorem for outer approximation methods...
A semi-infinite programming problem is an optimization problem in which finitely many variables appe...
The aim of this work is to give an overview of methods for solving linear semi-infinite programming ...
Generalized semi-infinite optimization problems (GSIP) are considered. It is investigated how the nu...
In this paper we present some semismooth Newton methods for solving the semi-infinite programming pr...
We present a reduction type algorithm for solving nonlinear semi-infinite programming problems. The ...
To solve nonlinear semi-infinite programming problems we use a global reduction method. The method r...
We introduce a new numerical solution method for semi-infinite optimization problems with convex low...
Abstract: A semi-infnite program is the task of minimising a function of fnitely many variables subj...
We present a reduction method for solving semi-infinite programming problems based on simulated anne...
The discretization approach for solving semi-infinite optimization problems is considered. We are in...
Abstract. Semi-infinite programming (SIP) problems can be efficiently solved by reduction type metho...
In this paper, we develop a discretisation algorithm with an adaptive scheme for solving a class of ...
We present a new reduction-type method for solving semi-infinite programming problems, where the mul...