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Title	Recent advances in the Monte Carlo sampling of polymer configurations
Creator	Nathan Clisby
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2019-03-26T09:37
Description	I will discuss work in progress to extend the use of efficient data structures from lattice self-avoiding walks to the Monte Carlo sampling of configurations for other polymer models. In particular, I will discuss the sampling of dense polymer configurations (in fact, Hamiltonian paths) via so-called backbite moves, and the sampling of continuum polymers in the self-avoiding walk universality class via an efficient implementation of the pivot algorithm.
Extent	30.0 minutes
Subject	Mathematics Biology and other natural sciences Manifolds and cell complexes Mathematical biology
Geographic Location	Banff (Alta.)
Type	Moving Image
FileFormat	video/mp4
Language	eng
Notes	Author affiliation: Swinburne University of Technology
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2019-09-23
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0380937
URI	http://hdl.handle.net/2429/71720
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Researcher
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
AggregatedSourceRepository	DSpace

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