Design and implementation strategy of a parallel agent-based Schelling model

Computers, Environment and Urban Systems

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Main Authors: Kim Ick-Hoi, Tsou, Ming-Hsiang, Feng, Chen-Chieh
Other Authors: GEOGRAPHY
Format: Article
Published: Elsevier 2016
Online Access:http://scholarbank.nus.edu.sg/handle/10635/123383
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1233832016-04-30T00:51:45Z Design and implementation strategy of a parallel agent-based Schelling model Kim Ick-Hoi Tsou, Ming-Hsiang Feng, Chen-Chieh GEOGRAPHY Computers, Environment and Urban Systems 49 30-41 2016-04-29T06:05:29Z 2016-04-29T06:05:29Z 2015 Article Kim Ick-Hoi,Tsou, Ming-Hsiang,Feng, Chen-Chieh (2015). Design and implementation strategy of a parallel agent-based Schelling model. Computers, Environment and Urban Systems 49 : 30-41. ScholarBank@NUS Repository. 01989715 http://scholarbank.nus.edu.sg/handle/10635/123383 NOT_IN_WOS Elsevier
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
description Computers, Environment and Urban Systems
author2 GEOGRAPHY
author_facet GEOGRAPHY
Kim Ick-Hoi
Tsou, Ming-Hsiang
Feng, Chen-Chieh
format Article
author Kim Ick-Hoi
Tsou, Ming-Hsiang
Feng, Chen-Chieh
spellingShingle Kim Ick-Hoi
Tsou, Ming-Hsiang
Feng, Chen-Chieh
Design and implementation strategy of a parallel agent-based Schelling model
author_sort Kim Ick-Hoi
title Design and implementation strategy of a parallel agent-based Schelling model
title_short Design and implementation strategy of a parallel agent-based Schelling model
title_full Design and implementation strategy of a parallel agent-based Schelling model
title_fullStr Design and implementation strategy of a parallel agent-based Schelling model
title_full_unstemmed Design and implementation strategy of a parallel agent-based Schelling model
title_sort design and implementation strategy of a parallel agent-based schelling model
publisher Elsevier
publishDate 2016
url http://scholarbank.nus.edu.sg/handle/10635/123383
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