AbstractA basic result of optimisation theory is that a saddle-point of the Lagrangian is an optimum of the associated programming problem, independently of any concavity assumptions. It is also well known that under concavity assumptions the two are equivalent; i.e., an optimum is always a saddle-point. It is demonstrated that this basic equivalence of saddle-points and optima in fact holds for a much larger class of problems, which are not necessarily concave, but are equivalent to concave programmes up to a diffeomorphism. This class generalises the class of geometric programmes
AbstractWe consider the problem of minimizing a function over a region defined by an arbitrary set, ...
Abstract. In this paper, a so-called η-approximated optimization problem (Ref. [1] and [3]) associat...
In this paper, the classical KKT, complementarity and Lagrangian saddle-point conditions are general...
AbstractA basic result of optimisation theory is that a saddle-point of the Lagrangian is an optimum...
Abstract In this paper concept of generalized saddle point(GSP) is introduced and applied to an opti...
AbstractAn incomplete Lagrange function is used to study saddle point optimality criteria for a clas...
This thesis contains several contributions to the theory of optimality conditions in single- and mul...
In this paper, we analyse the relationships between conic and vector separation of two sets. Applyi...
In this paper we use the recursive saddle point method developed by Marcet and Marimon (1999, 2011) ...
We provide a new well-posedness concept for saddle-point problems. We characterize it by means of th...
For constrained nonconvex optimization, we first show that under second-order sufficient conditions,...
In this paper we use the recursive saddle point method developed by Marcet and Marimon (1999, 2011) ...
We provide a new well-posedness concept for saddle-point problems. We characterize it by means of th...
AbstractWe prove a version of Lagrange multipliers theorem for nonsmooth functionals defined on norm...
In this survey paper both real and vector--valued Lagrangian functions for a rather general vector o...
AbstractWe consider the problem of minimizing a function over a region defined by an arbitrary set, ...
Abstract. In this paper, a so-called η-approximated optimization problem (Ref. [1] and [3]) associat...
In this paper, the classical KKT, complementarity and Lagrangian saddle-point conditions are general...
AbstractA basic result of optimisation theory is that a saddle-point of the Lagrangian is an optimum...
Abstract In this paper concept of generalized saddle point(GSP) is introduced and applied to an opti...
AbstractAn incomplete Lagrange function is used to study saddle point optimality criteria for a clas...
This thesis contains several contributions to the theory of optimality conditions in single- and mul...
In this paper, we analyse the relationships between conic and vector separation of two sets. Applyi...
In this paper we use the recursive saddle point method developed by Marcet and Marimon (1999, 2011) ...
We provide a new well-posedness concept for saddle-point problems. We characterize it by means of th...
For constrained nonconvex optimization, we first show that under second-order sufficient conditions,...
In this paper we use the recursive saddle point method developed by Marcet and Marimon (1999, 2011) ...
We provide a new well-posedness concept for saddle-point problems. We characterize it by means of th...
AbstractWe prove a version of Lagrange multipliers theorem for nonsmooth functionals defined on norm...
In this survey paper both real and vector--valued Lagrangian functions for a rather general vector o...
AbstractWe consider the problem of minimizing a function over a region defined by an arbitrary set, ...
Abstract. In this paper, a so-called η-approximated optimization problem (Ref. [1] and [3]) associat...
In this paper, the classical KKT, complementarity and Lagrangian saddle-point conditions are general...