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BIRS Workshop Lecture Videos
Recent advances in the Monte Carlo sampling of polymer configurations Clisby, Nathan
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.
Item Metadata
Title |
Recent advances in the Monte Carlo sampling of polymer configurations
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2019-03-26T09:37
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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.
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Extent |
30.0 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: Swinburne University of Technology
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Series | |
Date Available |
2019-09-23
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0380937
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Researcher
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International