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HUBCOM: A program for Monte Carlo simulations on generalized Hubbard models

Main Author: CPC, Mendeley
Other Authors: Sciutto, S.J.
Format: Dataset
Terbitan: Mendeley , 1991
Subjects:
Statistical Physics
Computational Physics
Thermodynamics
Online Access: https:/data.mendeley.com/datasets/pyb2vs64rf
ctrlnum 0.17632-pyb2vs64rf.1
fullrecord <?xml version="1.0"?> <dc><creator>CPC, Mendeley</creator><title>HUBCOM: A program for Monte Carlo simulations on generalized Hubbard models </title><publisher>Mendeley</publisher><description>Abstract We present here a program for performing Monte Carlo (MC) simulations in discrete fermionic systems. We use a special version of the so-called determinantal method. The algorithm is based in the standard Metropolis method, but makes use of a non-uniform probability distribution for the selection of the transition-candidate states. Detailed balance is preserved by suitably modifying the Metropolis acceptance-rejection test. The method was originally developed and used in a one-dimensional spin... Title of program: HUBCOM Catalogue Id: ABTJ_v1_0 Nature of problem We present here a program for performing Monte Carlo (MC) simulations in discrete fermionic systems. We use a special version of the so-called determinantal method. ... CORRECTION SUMMARY: Vol:Year:Page 0:unpublished:unpublished "000A CORRECTION 01/07/91" "Unpublished correction to HUBCOM: a program for Monte Carlo simulations on generalized Hubbard models." S.J. Sciutto Note: correction instructions are contained in source code Versions of this program held in the CPC repository in Mendeley Data ABTJ_v1_0; HUBCOM; 10.1016/0010-4655(91)90124-4 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)</description><subject>Statistical Physics</subject><subject>Computational Physics</subject><subject>Thermodynamics</subject><contributor>Sciutto, S.J.</contributor><type>Other:Dataset</type><identifier>10.17632/pyb2vs64rf.1</identifier><rights>Computer Physics Communications Journal Licence</rights><rights>https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/</rights><relation>https:/data.mendeley.com/datasets/pyb2vs64rf</relation><date>1991-01-01T12:00:00Z</date><recordID>0.17632-pyb2vs64rf.1</recordID></dc>
format Other:Dataset
Other
author CPC, Mendeley
author2 Sciutto, S.J.
title HUBCOM: A program for Monte Carlo simulations on generalized Hubbard models
publisher Mendeley
publishDate 1991
topic Statistical Physics
Computational Physics
Thermodynamics
url https:/data.mendeley.com/datasets/pyb2vs64rf
contents Abstract We present here a program for performing Monte Carlo (MC) simulations in discrete fermionic systems. We use a special version of the so-called determinantal method. The algorithm is based in the standard Metropolis method, but makes use of a non-uniform probability distribution for the selection of the transition-candidate states. Detailed balance is preserved by suitably modifying the Metropolis acceptance-rejection test. The method was originally developed and used in a one-dimensional spin... Title of program: HUBCOM Catalogue Id: ABTJ_v1_0 Nature of problem We present here a program for performing Monte Carlo (MC) simulations in discrete fermionic systems. We use a special version of the so-called determinantal method. ... CORRECTION SUMMARY: Vol:Year:Page 0:unpublished:unpublished "000A CORRECTION 01/07/91" "Unpublished correction to HUBCOM: a program for Monte Carlo simulations on generalized Hubbard models." S.J. Sciutto Note: correction instructions are contained in source code Versions of this program held in the CPC repository in Mendeley Data ABTJ_v1_0; HUBCOM; 10.1016/0010-4655(91)90124-4 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
id IOS7969.0.17632-pyb2vs64rf.1
institution Universitas Islam Indragiri
affiliation onesearch.perpusnas.go.id
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library Teknologi Pangan UNISI
library_id 2816
collection Artikel mulono
repository_id 7969
city INDRAGIRI HILIR
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shared_to_ipusnas_str 1
repoId IOS7969
first_indexed 2020-04-08T08:22:11Z
last_indexed 2020-04-08T08:22:11Z
recordtype dc
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