This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear semi-infinite optimization, presents some numerical approaches to this type of problems, and describes a selection of recent applications in a variety of fields. Extensions to related optimization areas, as convex semi-infinite optimization, linear infinite optimization, and multi-objective linear semi-infinite optimization, are also commented.This is an updated version of the paper “Recent contributions to linear semi-infinite optimization” that appeared in 4OR, 15(3), 221–264 (2017). It was supported by the MINECO of Spain and ERDF of EU, Grant MTM2014-59179-C2-1-P, and by the Australian Research Council, Project DP160100854
The semidefinite programming is an optimization approach where optimization problems are formulated ...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
This paper concerns applications of advanced techniques of variational analysis and generalized diff...
This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear semi-inf...
This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear semi-inf...
This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear semi-inf...
This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear semi-inf...
Post-Optimal Analysis in Linear Semi-Infinite Optimization examines the following topics in regards ...
In this paper we, firstly, review the main known results on systems of an arbitrary (possibly infini...
In this paper, the classical KKT, complementarity and Lagrangian saddle-point conditions are general...
AbstractThis paper deals with the stability of linear semi-infinite programming (LSIP, for short) pr...
AbstractLinear semi-infinite programming deals with the optimization of linear functionals on finite...
The problem (LFP) of finding a feasible solution to a given linear semi-infinite system arises in di...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
This paper concerns applications of advanced techniques of variational analysis and generalized diff...
This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear semi-inf...
This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear semi-inf...
This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear semi-inf...
This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear semi-inf...
Post-Optimal Analysis in Linear Semi-Infinite Optimization examines the following topics in regards ...
In this paper we, firstly, review the main known results on systems of an arbitrary (possibly infini...
In this paper, the classical KKT, complementarity and Lagrangian saddle-point conditions are general...
AbstractThis paper deals with the stability of linear semi-infinite programming (LSIP, for short) pr...
AbstractLinear semi-infinite programming deals with the optimization of linear functionals on finite...
The problem (LFP) of finding a feasible solution to a given linear semi-infinite system arises in di...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
This paper concerns applications of advanced techniques of variational analysis and generalized diff...