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We consider the problem of minimizing the max of two convex functions
from both approximation and sensitivity point of view.This lead up to study
the epiconvergence of a sequence of level sums of convex functions and the related
dual problems.
We study a quasiconvex conjugation that transforms the level sum of functions into the pointwise sum of their conjugates and derive
new duality results for the minimization of the max of two quasiconvex functions. Following Barron and al., we show that the level
sum provides quasiconvex viscosity solutions for Hamilton-Jacobi equations in which the initial condition is a general continuous
quasiconvex function which is not necessarily Lipschitz or bounded.
The notion of adequate (resp. strongly adequate) function has been recently introduced to characterize the essentially strictly convex (resp. essentially firmly subdifferentiable) functions among the weakly lower semicontinuous (resp. lower semicontinuous) ones. In this paper we provide various necessary and sufficient conditions in order that the lower semicontinuous hull of an extended real-valued function on a reflexive Banach space is essentially strictly convex. Some new results on nearest...
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