Abstract In this paper concept of generalized saddle point(GSP) is introduced and applied to an optimization problem of a set of functionals on a Banach space, which shows that GSP and the optimum solution are equivalent. Although sun-point is a essential concept in approximation theory, their relation is seldom discussed. In this paper sun-point is also introduced to depict the optimum solution of a problem, and if functionals are convex, the equivalence between GSP and sun-point is established
Approximate optimization, limiting subdifferential, locally Lipschitz function, approximate saddle p...
AbstractWe prove a version of Lagrange multipliers theorem for nonsmooth functionals defined on norm...
CNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOFAPESP - FUNDAÇÃO DE AMPARO À PE...
AbstractA basic result of optimisation theory is that a saddle-point of the Lagrangian is an optimum...
In this paper, we generalize the well-known notions of minimax, maximin, and saddle point to vector-...
In this paper, we generalize the well-known notions of minimax, maximin, and saddle point to vector-...
In this paper, we generalize the well-known notions of minimax, maximin, and saddle point to vector-...
In this paper, we generalize the well-known notions of minimax, maximin, and saddle point to vector-...
The paper contains definitions of different types of nondominated approximate solutions to vector op...
AbstractA basic result of optimisation theory is that a saddle-point of the Lagrangian is an optimum...
International audienceThis paper studies the solvability and stability of a generalized saddle-point...
In this paper, by means of a theorem of the alternative for generalized systems, weak alternative is...
This article deals with a vector optimization problem with cone constraints in a Banach space settin...
AbstractAn incomplete Lagrange function is used to study saddle point optimality criteria for a clas...
In this survey paper both real and vector--valued Lagrangian functions for a rather general vector o...
Approximate optimization, limiting subdifferential, locally Lipschitz function, approximate saddle p...
AbstractWe prove a version of Lagrange multipliers theorem for nonsmooth functionals defined on norm...
CNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOFAPESP - FUNDAÇÃO DE AMPARO À PE...
AbstractA basic result of optimisation theory is that a saddle-point of the Lagrangian is an optimum...
In this paper, we generalize the well-known notions of minimax, maximin, and saddle point to vector-...
In this paper, we generalize the well-known notions of minimax, maximin, and saddle point to vector-...
In this paper, we generalize the well-known notions of minimax, maximin, and saddle point to vector-...
In this paper, we generalize the well-known notions of minimax, maximin, and saddle point to vector-...
The paper contains definitions of different types of nondominated approximate solutions to vector op...
AbstractA basic result of optimisation theory is that a saddle-point of the Lagrangian is an optimum...
International audienceThis paper studies the solvability and stability of a generalized saddle-point...
In this paper, by means of a theorem of the alternative for generalized systems, weak alternative is...
This article deals with a vector optimization problem with cone constraints in a Banach space settin...
AbstractAn incomplete Lagrange function is used to study saddle point optimality criteria for a clas...
In this survey paper both real and vector--valued Lagrangian functions for a rather general vector o...
Approximate optimization, limiting subdifferential, locally Lipschitz function, approximate saddle p...
AbstractWe prove a version of Lagrange multipliers theorem for nonsmooth functionals defined on norm...
CNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOFAPESP - FUNDAÇÃO DE AMPARO À PE...