Fundamentals of convex optimization for compositional data

Many of the most popular statistical techniques incorporate optimisation problems in their inner workings. A convex optimisation problem is defned as the problem of minimising a convex function over a convex set. When traditional methods are applied to compositional data, misleading and incoherent results could be obtained. In this paper, we fll a gap in the specialised literature by introducing and rigorously defning novel concepts of convex optimisation for compositional data according to the Aitchison geometry. Convex sets and convex functions on the simplex are defned and illustrated ​
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