Rapid preconditioning of data for accelerating convex hull algorithms

Autor: Medina, Jose Cadenas, Megson, G. M.
Jazyk: angličtina
Rok vydání: 2014
Předmět:
ISSN: 0013-5194
Popis: Given a dataset of two-dimensional points in the plane with integer coordinates, the method proposed reduces a set of n points down to a set of s points s ? n, such that the convex hull on the set of s points is the same as the convex hull of the original set of n points. The method is O(n). It helps any convex hull algorithm run faster. The empirical analysis of a practical case shows a percentage reduction in points of over 98%, that is reflected as a faster computation with a speedup factor of at least 4.
Databáze: OpenAIRE