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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Statistic...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Statistical Physics
Article . 1986 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Langevin simulations of lattice field theories using Fourier acceleration

Authors: C. Davies; G. Batrouni; G. Katz; A. Kronfeld; P. Lepage; P. Rossi; B. Svetitsky; +1 Authors

Langevin simulations of lattice field theories using Fourier acceleration

Abstract

Here r/ is a random number (usually Gaussian) with (q(x)* ~/(y))=2ax,y and e is the step size. Without the noise term the algorithm would be simply a technique for finding the minima of S[~b] by the gradient method. The noise term simulates quantum fluctuations about these classical configurations. In common with other techniques, the Langevin simulation according to (2) will suffer from critical slowing down for large lattices and long correlation lengths 4. This is because the components of ~b with highest momenta evolve 4 2 times faster than those with the lowest momenta and therefore the amount of computing time required to study the infrared structure of configurations on the lattice grows as (volume). 4 2 . The remedy to this problem is a technique known as Fourier acceleration. One simply chooses a larger step size e for low p relative to

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Top 10%
Top 10%
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