Colourful Linear Programming Feasibility Problem - Rong, Guohong
35,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 1-2 Wochen
payback
18 °P sammeln
  • Broschiertes Buch

This problem was presented by Barany and Onn in 1997 and it is still not known if a polynomial-time algorithm for the problem exists. The monochrome version of this problem, expressing p as a convex combination of points in a set S, is a traditional linear programming feasibility problem. The colourful Caratheodory Theorem, due to Barany in 1982, provides a sufficient condition for the existence of a colourful set of points containing p in its convex hull. Barany's result was generalized by Holmsen et al. in 2008 and by Arocha et al. in 2009 before being recently further generalized by Meunier…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
This problem was presented by Barany and Onn in 1997 and it is still not known if a polynomial-time algorithm for the problem exists. The monochrome version of this problem, expressing p as a convex combination of points in a set S, is a traditional linear programming feasibility problem. The colourful Caratheodory Theorem, due to Barany in 1982, provides a sufficient condition for the existence of a colourful set of points containing p in its convex hull. Barany's result was generalized by Holmsen et al. in 2008 and by Arocha et al. in 2009 before being recently further generalized by Meunier and Deza. We study algorithms for colourful linear programming under the conditions of Barany and their generalizations. In particular, we implement the Meunier-Deza algorithm and enhance previously used random case generators. Computational benchmarking and a performance analysis including a comparison between the two algorithms of Barany and Onn and the one of Meunier and Deza, and randompicking are presented.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Autorenporträt
Guohong has more than ten years experience as a software developer especially in network security and embedded system. He obtained his Master of Science in Computer Science from McMaster University in 2012.