In this paper we establish new rules for the calculus of the subdifferential mapping of the sum of two convex functions. Our results are established under conditions which are at an intermediate level of generality among those leading to the Hiriart-Urruty and Phelps formula (Hiriart-Urruty and Phelps, 1993 [15]), involving the approximate subdifferential, and the stronger assumption used in the well-known Moreau-Rockafellar formula (Rockafellar 1970, [23]; Moreau 1966, [20]), which only uses the exact subdifferential. We give an application to derive asymptotic optimality conditions for convex optimization.CONICYT 1151003 1150909 Math-Amsud program 13MATH-01 2013 MINECO of Spain FEDER of EU MTM2014-59179-C2-1-P MTM2011...
We give a formula for the subdifferential of the sum of two convex functions where one of them is th...
AbstractThis paper deals with some basic notions of convex analysis and convex optimization via conv...
The notion of subgradient, originally defined for convex functions, has in recent years been extende...
In this paper we establish new rules for the calculus of the subdifferential mapping of the sum of t...
We characterize the subdifferential of the supremum function of finitely and infinitely indexed fami...
We characterize the subdifferential of the supremum function of finitely and infinitely indexed fami...
We give a formula for the subdifferential of the sum of two convex functions where one of them is th...
AbstractIn applications of convex analysis it is important to be able to calculate the subdifferenti...
The Moreau-Rockafellar subdifferential is a highly important notion in convex analysis and optimizat...
This chapter is a survey presenting various characterizations of the subdifferential of the pointwis...
Optimization is a branch of mathematics dealing with the selection of the best element(s) (based on ...
Artículo de publicación ISISin acceso a texto completoWe establish subdifferential calculus rules fo...
International audienceWe establish subdifferential calculus rules for the sum of convex functions de...
In this paper, we derive a new formula for the subdifferential of the supremum of an arbitrary famil...
AbstractIn this paper, we establish some calculus rules for the limiting Fréchet ϵ-subdifferentials ...
We give a formula for the subdifferential of the sum of two convex functions where one of them is th...
AbstractThis paper deals with some basic notions of convex analysis and convex optimization via conv...
The notion of subgradient, originally defined for convex functions, has in recent years been extende...
In this paper we establish new rules for the calculus of the subdifferential mapping of the sum of t...
We characterize the subdifferential of the supremum function of finitely and infinitely indexed fami...
We characterize the subdifferential of the supremum function of finitely and infinitely indexed fami...
We give a formula for the subdifferential of the sum of two convex functions where one of them is th...
AbstractIn applications of convex analysis it is important to be able to calculate the subdifferenti...
The Moreau-Rockafellar subdifferential is a highly important notion in convex analysis and optimizat...
This chapter is a survey presenting various characterizations of the subdifferential of the pointwis...
Optimization is a branch of mathematics dealing with the selection of the best element(s) (based on ...
Artículo de publicación ISISin acceso a texto completoWe establish subdifferential calculus rules fo...
International audienceWe establish subdifferential calculus rules for the sum of convex functions de...
In this paper, we derive a new formula for the subdifferential of the supremum of an arbitrary famil...
AbstractIn this paper, we establish some calculus rules for the limiting Fréchet ϵ-subdifferentials ...
We give a formula for the subdifferential of the sum of two convex functions where one of them is th...
AbstractThis paper deals with some basic notions of convex analysis and convex optimization via conv...
The notion of subgradient, originally defined for convex functions, has in recent years been extende...