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  • Search: subject:"Cluster algorithm"
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Year of publication
Subject
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Cluster algorithm 7 cluster algorithm 6 Algorithm 5 Algorithmus 5 Theorie 5 Theory 5 Baxter–Wu model 4 European innovation 4 innovation concentration 4 multivariate cluster analysis 4 spatio-temporal cluster modeling 4 Cluster analysis 3 Clusteranalyse 3 Evolutionary algorithm 3 Evolutionärer Algorithmus 3 Finite-size scaling 3 Lattice gas 3 Triangle-cluster algorithm 3 Universality 3 genetic algorithm 3 Critical exponents 2 Critical phenomena 2 EU countries 2 EU-Staaten 2 Electricity price 2 Functional Data Analysis (FDA) 2 Innovation 2 Mathematical programming 2 Mathematische Optimierung 2 Multivariate Analyse 2 Multivariate analysis 2 Phase transitions 2 Preismanagement 2 Pricing strategy 2 Regional cluster 2 Regionales Cluster 2 Sonderwirtschaftszone 2 Special economic zone 2 Strompreis 2 bidding zone configuration 2
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Online availability
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Undetermined 14 Free 7 CC license 1
Type of publication
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Article 17 Book / Working Paper 5
Type of publication (narrower categories)
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Working Paper 5 Article in journal 4 Aufsatz in Zeitschrift 4 Arbeitspapier 3 Graue Literatur 3 Non-commercial literature 3 Article 1
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Language
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Undetermined 12 English 10
Author
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Rhoden, Imke 4 Voit, Ann-Katrin 4 Weller, Daniel 4 Blöte, H.W.J. 2 Felling, Tim 2 Heringa, J.R. 2 Martinos, S.S. 2 Velonakis, I.N. 2 Velonakis, Ioannis N. 2 Anbuchezhian, N. 1 Blöte, H.W.J 1 Chayes, L. 1 Davatolhagh, S. 1 Dayal, Madhukar 1 Dhanalakshmi, R. 1 Felling, Tim Jonathan 1 Guan, Xiaolan 1 Heringa, J.R 1 Kim, Sung-Soo 1 Krzanowski, W. 1 Machta, J. 1 Moshfeghian, M. 1 Okabe, Yutaka 1 Parthiban, P. 1 Tang, Ran 1 Tomita, Yusuke 1 Verma, Sanjay 1 Wang, Jian-Sheng 1 Wang, Lida 1 Yamaguchi, Chiaki 1 Zhang, Zhenji 1
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Published in...
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Physica A: Statistical Mechanics and its Applications 11 Computational Statistics 1 Energy economics 1 HEMF Working Paper 1 HEMF working paper 1 International journal of enterprise network management : IJENM 1 Journal of Open Innovation: Technology, Market, and Complexity 1 Journal of electronic commerce in organizations : the international journal of electronic commerce in modern organizations ; an official publication of the Information Resources Management Association 1 Journal of open innovation : technology, market, and complexity 1 Ruhr Economic Papers 1 Ruhr economic papers 1 Working paper / Indian Institute of Management, Ahmedabad 1
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Source
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RePEc 12 ECONIS (ZBW) 7 EconStor 3
Showing 11 - 20 of 22
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Critical energy distribution function of the Baxter–Wu model
Velonakis, Ioannis N. - In: Physica A: Statistical Mechanics and its Applications 399 (2014) C, pp. 171-188
magnetic field using the recently developed triangle-cluster algorithm, we calculate the energy distribution function …
Persistent link: https://www.econbiz.de/10010744309
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A new user segmentation model for e-government
Tang, Ran; Zhang, Zhenji; Guan, Xiaolan; Wang, Lida - In: Journal of electronic commerce in organizations : the … 11 (2013) 2, pp. 1-11
Persistent link: https://www.econbiz.de/10010187151
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A new cluster algorithm for the Baxter–Wu model
Velonakis, I.N.; Martinos, S.S. - In: Physica A: Statistical Mechanics and its Applications 390 (2011) 1, pp. 24-30
We propose a new cluster algorithm for the Baxter–Wu model that significantly reduces critical slowing down. We examine … with the Metropolis algorithm and with the other existing cluster algorithm. …
Persistent link: https://www.econbiz.de/10010589980
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Scaling properties of the Baxter–Wu model
Velonakis, I.N.; Martinos, S.S. - In: Physica A: Statistical Mechanics and its Applications 390 (2011) 20, pp. 3369-3384
We use a recently developed cluster algorithm for the Baxter–Wu model to study characteristic features of its behavior …
Persistent link: https://www.econbiz.de/10010590231
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Critical behavior of the two-dimensional thermalized bond Ising model
Davatolhagh, S.; Moshfeghian, M. - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 17, pp. 3349-3355
A suitably modified Wolff single-cluster Monte Carlo simulation has been performed to investigate the critical behavior of a two-dimensional Ising model with temperature-dependent annealed bond dilution, also known as the thermalized bond Ising model, which is intended to simulate the thermal...
Persistent link: https://www.econbiz.de/10010872830
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Detecting multiple outliers in linear regression using a cluster method combined with graphical visualization
Kim, Sung-Soo; Krzanowski, W. - In: Computational Statistics 22 (2007) 1, pp. 109-119
Persistent link: https://www.econbiz.de/10005613227
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Binary tree summation Monte Carlo simulation for Potts models
Wang, Jian-Sheng - In: Physica A: Statistical Mechanics and its Applications 321 (2003) 1, pp. 351-358
In this talk, we briefly comment on Sweeny and Gliozzi methods, cluster Monte Carlo method, and recent transition matrix Monte Carlo for Potts models. We mostly concentrate on a new algorithm known as ‘binary tree summation’. Some of the most interesting features of this method will be...
Persistent link: https://www.econbiz.de/10011059731
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Novel Monte Carlo algorithms and their applications
Okabe, Yutaka; Tomita, Yusuke; Yamaguchi, Chiaki - In: Physica A: Statistical Mechanics and its Applications 321 (2003) 1, pp. 340-350
generalized PCC algorithm to the two-dimensional 6-state clock model. We also discuss the combination of the cluster algorithm and …
Persistent link: https://www.econbiz.de/10010589438
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Cluster dynamics and universality of Ising lattice gases
Heringa, J.R.; Blöte, H.W.J. - In: Physica A: Statistical Mechanics and its Applications 251 (1998) 1, pp. 224-234
cluster algorithm. The critical dynamics is consistent with a dynamical exponent z=0 in the case of Wolff-like cluster updates …
Persistent link: https://www.econbiz.de/10011059965
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Geometric symmetries and cluster simulations
Heringa, J.R; Blöte, H.W.J - In: Physica A: Statistical Mechanics and its Applications 254 (1998) 1, pp. 156-163
Cluster Monte Carlo methods are especially useful for applications in the vicinity of phase transitions, because they suppress critical slowing down; this may reduce the required simulation times by orders of magnitude. In general, the way in which cluster methods work can be explained in terms...
Persistent link: https://www.econbiz.de/10011060562
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