Recently, semidefinite optimization problems have been intensively studied since many optimization problems can be changed into the problems and the problems are very tractable ([5]). In this paper, we review the duality results for semidefinite linear fractional optimization problems in the paper ([3] On duality theorems for semidefinite linear fractional optimization problems, Journal of Nonliner and Convex Analysis, volume 20, 2019, 1907-1912)
This paper provides a short introduction to optimization problems with semidefinite constraints. Bas...
International audienceThis article presents a family of semidefinite programming bounds, obtained by...
This paper provides a short introduction to optimization problems with semidefinite constraints. Bas...
AbstractWe establish the necessary and sufficient optimality conditions for a class of nondifferenti...
In this paper, we establish necessary optimality conditions for (weakly) efficient solutions of a no...
International audienceThis article presents a family of semidefinite programming bounds, obtained by...
AbstractSemidefinite programs are convex optimization problems arising in a wide variety of applicat...
This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear semi-inf...
In this article, by using the Lagrangian function, we investigate the sufficient global optimality c...
AbstractWe establish the sufficient conditions for generalized fractional programming in the framewo...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
AbstractIn the present paper, we discuss the optimality condition for an optimal solution to the pro...
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 provides a short introduction to optimization problems with semidefinite constraints. Bas...
International audienceThis article presents a family of semidefinite programming bounds, obtained by...
This paper provides a short introduction to optimization problems with semidefinite constraints. Bas...
AbstractWe establish the necessary and sufficient optimality conditions for a class of nondifferenti...
In this paper, we establish necessary optimality conditions for (weakly) efficient solutions of a no...
International audienceThis article presents a family of semidefinite programming bounds, obtained by...
AbstractSemidefinite programs are convex optimization problems arising in a wide variety of applicat...
This paper reviews the state-of-the-art in the theory of deterministic and uncertain linear semi-inf...
In this article, by using the Lagrangian function, we investigate the sufficient global optimality c...
AbstractWe establish the sufficient conditions for generalized fractional programming in the framewo...
The semidefinite programming is an optimization approach where optimization problems are formulated ...
AbstractIn the present paper, we discuss the optimality condition for an optimal solution to the pro...
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 provides a short introduction to optimization problems with semidefinite constraints. Bas...
International audienceThis article presents a family of semidefinite programming bounds, obtained by...
This paper provides a short introduction to optimization problems with semidefinite constraints. Bas...