This paper provides formulas for calculating of Fr\'{e}chet and limiting normal cones with respect to a set of sets and the limiting coderivative with respect to a set of set-valued mappings. These calculations are obtained under some qualification constraints and are expressed in the similar forms of these ones of Fr\'{e}chet and limiting normal cones and the limiting coderivative. By using these obtained formulas, we state explicit necessary optimality conditions with respect to a set for optimization problems with equilibrium constraints under certain qualification conditions. Some illustrated examples to obtained results are also established.Comment: 29 page
The paper concerns new aspects of generalized differentiation theory that plays a crucial role in ma...
summary:In the paper necessary optimality conditions are derived for the minimization of a locally L...
The paper deals with co-derivative formulae for normal cone mappings to smooth inequality systems. B...
The notions and certain fundamental characteristics of the proximal and limiting normal cones with r...
The paper concerns the computation of the graphical derivative and the regular (Fréchet) coderivativ...
The paper is devoted to the development of a comprehensive calculus for directional limiting normal ...
AbstractWe develop an extended generalized differential calculus for normal cones to nonconvex sets,...
The paper concerns the computation of the limiting coderivative of the normal-cone mapping related t...
The paper concerns the computation of the graphical derivative and the regular (Fréchet) coderivativ...
This book aims to give an introduction to generalized derivative concepts useful in deriving necessa...
Convex optimization, nonsmooth analysis, nonsmooth optimization, set-valued maps, variational analys...
The paper deals with a new sharp condition ensuring the Aubin property of solution maps to a class o...
The paper concerns parameterized equilibria governed by generalized equations whose multivalued part...
This paper concerns new subdifferential necessary conditions for local optimal solutions to an impor...
The paper concerns the computation of the graphical derivative and the regular (Fréchet) coderivativ...
The paper concerns new aspects of generalized differentiation theory that plays a crucial role in ma...
summary:In the paper necessary optimality conditions are derived for the minimization of a locally L...
The paper deals with co-derivative formulae for normal cone mappings to smooth inequality systems. B...
The notions and certain fundamental characteristics of the proximal and limiting normal cones with r...
The paper concerns the computation of the graphical derivative and the regular (Fréchet) coderivativ...
The paper is devoted to the development of a comprehensive calculus for directional limiting normal ...
AbstractWe develop an extended generalized differential calculus for normal cones to nonconvex sets,...
The paper concerns the computation of the limiting coderivative of the normal-cone mapping related t...
The paper concerns the computation of the graphical derivative and the regular (Fréchet) coderivativ...
This book aims to give an introduction to generalized derivative concepts useful in deriving necessa...
Convex optimization, nonsmooth analysis, nonsmooth optimization, set-valued maps, variational analys...
The paper deals with a new sharp condition ensuring the Aubin property of solution maps to a class o...
The paper concerns parameterized equilibria governed by generalized equations whose multivalued part...
This paper concerns new subdifferential necessary conditions for local optimal solutions to an impor...
The paper concerns the computation of the graphical derivative and the regular (Fréchet) coderivativ...
The paper concerns new aspects of generalized differentiation theory that plays a crucial role in ma...
summary:In the paper necessary optimality conditions are derived for the minimization of a locally L...
The paper deals with co-derivative formulae for normal cone mappings to smooth inequality systems. B...