Random sampling from Boltzmann principles

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Abstract

This extended abstract proposes a surprisingly simple framework for the random generation of combinatorial configurations based on Boltzmann models. Random generation of possibly complex structured objects is performed by placingan appropriate measure spread over the whole of a combinatorial class. The resultingalg orithms can be implemented easily within a computer algebra system, be analysed mathematically with great precision, and, when suitably tuned, tend to be efficient in practice, as they often operate in linear time.

Original languageEnglish
Title of host publicationAutomata, Languages and Programming - 29th International Colloquium, ICALP 2002, Proceedings
EditorsPeter Widmayer, Stephan Eidenbenz, Francisco Triguero, Rafael Morales, Ricardo Conejo, Matthew Hennessy
PublisherSpringer Verlag
Pages501-513
Number of pages13
ISBN (Print)3540438645, 9783540438649
DOIs
Publication statusPublished - 1 Jan 2002
Externally publishedYes
Event29th International Colloquium on Automata, Languages, and Programming, ICALP 2002 - Malaga, Spain
Duration: 8 Jul 200213 Jul 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2380 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference29th International Colloquium on Automata, Languages, and Programming, ICALP 2002
Country/TerritorySpain
CityMalaga
Period8/07/0213/07/02

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