AbstractIn this manuscript we consider the conjugate notion focused from consumer theory as an interesting tool. According to us, conjugate notion remained undeveloped in economic theory because Fenchel's conjugate notion was introduced exclusively for proper convex lower semi continuous functions and convexity assumption is not natural in economic theory. Nevertheless, we introduce necessary and sufficient optimality conditions for consumer problem. Also, we consider a particular version of Fenchel–Moreau conjugate notion, for lower semi continuous functions recently introduced in the literature as a generalization of Fenchel's conjugate. Finally, we adapt it to closed functions in order to define a convex dual problem for consumer problem
Of key importance in convex analysis and optimization is the notion of duality, and in particular th...
AbstractWe give simpler proofs of some known conjugation formulas and subdifferential formulas of co...
S for arbitrary set, K for convex cone, I g(·) is for arbitrary functions, not necessarily convex, I...
In this manuscript we consider the conjugate notion focused from consumer theory as an interesting t...
AbstractIn this manuscript we consider the conjugate notion focused from consumer theory as an inter...
With this thesis we bring some new results and improve some existing ones in conjugate duality and s...
Abstract. By considering the epigraphs of conjugate functions, we extend the Fenchel duality, applic...
AbstractWe introduce and study a new notion of conjugacy, similar to Fenchel conjugacy, in a non-con...
In this paper, we report further progress toward a complete theory of state‐independent expected uti...
preprint version The conjugate duality, which states that infx∈X φ(x, 0) = maxv∈Y ′ −φ∗(0, v), when...
International audienceWe introduce and study a new notion of conjugacy, similar to Fenchel conjugacy...
We provide definition of such a Fenchel-Young type duality for a convexifiable function f that its s...
In this paper, we present a generalization of Fenchel's conjugation and derive infimal convolution f...
In this work, we obtain a Fenchel–Lagrange dual problem for an infinite dimensional optimization pri...
textabstractWe consider the classical duality operators for convex objects such as the polar of a co...
Of key importance in convex analysis and optimization is the notion of duality, and in particular th...
AbstractWe give simpler proofs of some known conjugation formulas and subdifferential formulas of co...
S for arbitrary set, K for convex cone, I g(·) is for arbitrary functions, not necessarily convex, I...
In this manuscript we consider the conjugate notion focused from consumer theory as an interesting t...
AbstractIn this manuscript we consider the conjugate notion focused from consumer theory as an inter...
With this thesis we bring some new results and improve some existing ones in conjugate duality and s...
Abstract. By considering the epigraphs of conjugate functions, we extend the Fenchel duality, applic...
AbstractWe introduce and study a new notion of conjugacy, similar to Fenchel conjugacy, in a non-con...
In this paper, we report further progress toward a complete theory of state‐independent expected uti...
preprint version The conjugate duality, which states that infx∈X φ(x, 0) = maxv∈Y ′ −φ∗(0, v), when...
International audienceWe introduce and study a new notion of conjugacy, similar to Fenchel conjugacy...
We provide definition of such a Fenchel-Young type duality for a convexifiable function f that its s...
In this paper, we present a generalization of Fenchel's conjugation and derive infimal convolution f...
In this work, we obtain a Fenchel–Lagrange dual problem for an infinite dimensional optimization pri...
textabstractWe consider the classical duality operators for convex objects such as the polar of a co...
Of key importance in convex analysis and optimization is the notion of duality, and in particular th...
AbstractWe give simpler proofs of some known conjugation formulas and subdifferential formulas of co...
S for arbitrary set, K for convex cone, I g(·) is for arbitrary functions, not necessarily convex, I...