In this paper, we consider a class of \(\mathrm{LQ}\) semi-infinite programming (SIP) problems where the objective function is positive quadratic and the linear infinite constraint functions continuously depend on its index variable on a compact set. By using the dual parameterization technique, thi
A purification algorithm for semi-infinite programming
β Scribed by Teresa Leon; Enriqueta Vercher
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 640 KB
- Volume
- 57
- Category
- Article
- ISSN
- 0377-2217
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π SIMILAR VOLUMES
This paper presents a globally convergent method for solving a general semi-infinite linear programming problem. Some important features of this method include: It can solve a semi-infinite linear program having an unbounded feasible region. It requires an inexact solution to a nonlinear subproblem
## Abstract This paper gives characterization of optimal Solutions for convex semiinfinite programming problems. These characterizations are free of a constraint qualification assumption. Thus they overcome the deficiencies of the semiinfinite versions of the Fritz John and the KuhnβTucker theories