dc.date.accessioned | 2019-10-24T14:59:19Z | |
dc.date.available | 2019-10-24T14:59:19Z | |
dc.date.issued | 2014 | |
dc.identifier.uri | http://publications.mfo.de/handle/mfo/3440 | |
dc.description.abstract | The subject of this workshop were probabilistic aspects of algorithms for fundamental problems such as sorting, searching, selecting of and within data, random permutations, algorithms based on combinatorial trees or search trees, continuous limits of random trees and random graphs as well as random geometric graphs. The deeper understanding of the complexity of such algorithms and of shape characteristics of large discrete structures require probabilistic models and an asymptotic analysis of random discrete structures. The talks of this workshop focused on probabilistic, combinatorial and analytic techniques to study asymptotic properties of large random combinatorial structures. | |
dc.title | Probability, Trees and Algorithms | |
dc.rights.license | Dieses Dokument darf im Rahmen von § 53 UrhG zum eigenen Gebrauch kostenfrei heruntergeladen, gelesen, gespeichert und ausgedruckt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. | de |
dc.rights.license | This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties. | en |
dc.identifier.doi | 10.14760/OWR-2014-50 | |
local.series.id | OWR-2014-50 | |
local.subject.msc | 60 | |
local.subject.msc | 68 | |
local.sortindex | 880 | |
local.date-range | 02 Nov - 08 Nov 2014 | |
local.workshopcode | 1445a | |
local.workshoptitle | Probability, Trees and Algorithms | |
local.organizers | Luc Devroye, Montreal; Ralph Neininger, Frankfurt | |
local.report-name | Workshop Report 2014,50 | |
local.opc-photo-id | 1445a | |
local.publishers-doi | 10.4171/OWR/2014/50 | |
local.ems-reference | Devroye Luc, Neininger Ralph: Probability, Trees and Algorithms. Oberwolfach Rep. 11 (2014), 2825-2871. doi: 10.4171/OWR/2014/50 | |