AbstractWe give some Lagrangian duality theorems for optimization problems, in terms of non-linear separation properties involving epigraphs or related sets. Some applications are also given
AbstractWe construct a unified theory of dual optimization problems, which encompasses, as particula...
AbstractThis paper is devoted to developing augmented Lagrangian duality theory in vector optimizati...
AbstractThis paper treats the construction of dual variational principles for non-convex problems us...
AbstractWe give some Lagrangian duality theorems for optimization problems, in terms of non-linear s...
Abstract. The paper deals with vector constrained extremum problems. A separation scheme is recalled...
We propose a general dual program for a constrained optimization problem via generalized nonlinear L...
In the last years there has been a growing interest addessed to the study of Vector Optimization bot...
We recall a general scheme for vector problems based on separation arguments and alternative theore...
Abstract. We propose a general dual program for a constrained optimization problem via gener-alized ...
We consider the following optimization problem: in an abstract set X, find and element x that minimi...
We consider the following optimization problem: in an abstract set X, find and element x that minimi...
In mathematical optimzation, the Lagrangian approach is a general method to find an optimal solution...
There is a dual program linked with every nonlinear program. The dual objective function is called t...
Many duality theories of optimization problem arised in last decades were born as independent theori...
The Lagrangian function in the conventional theory for solving constrained optimization problems is ...
AbstractWe construct a unified theory of dual optimization problems, which encompasses, as particula...
AbstractThis paper is devoted to developing augmented Lagrangian duality theory in vector optimizati...
AbstractThis paper treats the construction of dual variational principles for non-convex problems us...
AbstractWe give some Lagrangian duality theorems for optimization problems, in terms of non-linear s...
Abstract. The paper deals with vector constrained extremum problems. A separation scheme is recalled...
We propose a general dual program for a constrained optimization problem via generalized nonlinear L...
In the last years there has been a growing interest addessed to the study of Vector Optimization bot...
We recall a general scheme for vector problems based on separation arguments and alternative theore...
Abstract. We propose a general dual program for a constrained optimization problem via gener-alized ...
We consider the following optimization problem: in an abstract set X, find and element x that minimi...
We consider the following optimization problem: in an abstract set X, find and element x that minimi...
In mathematical optimzation, the Lagrangian approach is a general method to find an optimal solution...
There is a dual program linked with every nonlinear program. The dual objective function is called t...
Many duality theories of optimization problem arised in last decades were born as independent theori...
The Lagrangian function in the conventional theory for solving constrained optimization problems is ...
AbstractWe construct a unified theory of dual optimization problems, which encompasses, as particula...
AbstractThis paper is devoted to developing augmented Lagrangian duality theory in vector optimizati...
AbstractThis paper treats the construction of dual variational principles for non-convex problems us...