Abstract In this paper, we introduce the concept of a weak q-distance and for this distance we derive a set-valued version of Ekeland's variational principle in the setting of uniform spaces. By using ...

This book contains details of the properties that satisfy certain function spaces and vector-valued distributions defined in the n-dimensional torus. In particular, the text deals with an introductory ...

Let $X$ be a Banach space with dual $X^\ast$ and let $(\Omega, \Sigma, \mu)$ be a finite measure space. Suppose $f: \Omega \rightarrow X$ is weakly measurable. There ...

Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and regression.