Show simple item record

Sampling from the low temperature Potts model through a Markov chain on flows

dc.contributor.authorHuijben, Jen_US
dc.contributor.authorPatel, Ven_US
dc.contributor.authorRegts, Gen_US
dc.date.accessioned2022-09-09T10:28:57Z
dc.date.issued2023en_US
dc.identifier.issn1042-9832en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/80409
dc.format.extent219 - 239en_US
dc.relation.ispartofRANDOM STRUCTURES & ALGORITHMSen_US
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectferromagnetic Potts modelen_US
dc.subjectflowsen_US
dc.subjectGlauber dynamicsen_US
dc.subjectpartition functionen_US
dc.titleSampling from the low temperature Potts model through a Markov chain on flowsen_US
dc.typeArticle
dc.rights.holder© 2022 The Authors. Random Structures & Algorithms published by Wiley Periodicals LLC.
dc.identifier.doi10.1002/rsa.21089en_US
pubs.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000782792300001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue1en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume62en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.