Pouzyry: a novel class of algorithms for restoring a function from a random sample

Abstract

A novel class of algorithms for restoring a function from a random sample is based on the concept of weak convergence, borrows algorithmic solutions from the Optimal Jet Finder (hep-ph/0301185), offers a considerable algorithmic flexibility, is applicable to non-positive functions, is insensitive to the choice of coordinate axes. A first implementation demonstrates feasibility of the approach.

Comments: 4p PS; talk at ACAT'03; see also http://www.inr.ac.ru/~ftkachov/projects/pouzyry/; v.3: refs. added