Title	Recent advances in the Monte Carlo sampling of polymer configurations
Creator	Clisby, Nathan
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
Type	Moving Image
File Format	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/
Aggregated Source Repository	DSpace

Open Collections

BIRS Workshop Lecture Videos