The norm of the gradient‖∇ f (x)‖ measures the maximum descent of a real-valued smooth function f at x. For (nonsmooth) convex functions, this is expressed by the distance …
A Daniilidis, D Salas, S Tapia-García - Mathematical Programming, 2024 - Springer
A classical result of variational analysis, known as Attouch theorem, establishes an equivalence between epigraphical convergence of a sequence of proper convex lower …
We show that the deviation between the slopes of two convex functions controls the deviation between the functions themselves. This result reveals that the slope—a one …
We study the fundamental properties of pointwise semi-Lipschitz functions between asymmetric spaces, which are the natural asymmetric counterpart of pointwise Lipschitz …
In the first part of the seminar, we will revise some literature concerning determination results. The determination result of Rockafellar for convex functions [13], the determination …
Abstract In 2018, Boulmezaoud, Cieutat and Daniilidis [1] obtained a very unexpected determination result: For any two convex functions f, g over a Hilbert space H, that are of …
The fundamental theorem of calculus asserts that, for every two differentiable functions f, g: Rn→ R one has that∇ f (x)=∇ g (x),∀ x∈ Rn=⇒ f= g+ c, for some constant c∈ R. This is …