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Trabalho de evento-anais periodico
The stochastic nature of predator-prey cycles (2009)
Tomé, Tânia; Rodrigues, Áttila L; Arashiro, Everaldo; Oliveira, Mário José de
Source: Computer Physics Communications. Conference titles: Conference on Computational Physics. Unidade: IF
Subjects: FÍSICA COMPUTACIONAL, PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOMÉ, Tânia et al. The stochastic nature of predator-prey cycles. Computer Physics Communications. Amsterdam: Elsevier Science. Disponível em: http://www.sciencedirect.com/science/journal/00104655. Acesso em: 17 ago. 2024. , 2009
APA
Tomé, T., Rodrigues, Á. L., Arashiro, E., & Oliveira, M. J. de. (2009). The stochastic nature of predator-prey cycles. Computer Physics Communications. Amsterdam: Elsevier Science. Recuperado de http://www.sciencedirect.com/science/journal/00104655
NLM
Tomé T, Rodrigues ÁL, Arashiro E, Oliveira MJ de. The stochastic nature of predator-prey cycles [Internet]. Computer Physics Communications. 2009 ; 180( 4): 536-539.[citado 2024 ago. 17 ] Available from: http://www.sciencedirect.com/science/journal/00104655
Vancouver
Tomé T, Rodrigues ÁL, Arashiro E, Oliveira MJ de. The stochastic nature of predator-prey cycles [Internet]. Computer Physics Communications. 2009 ; 180( 4): 536-539.[citado 2024 ago. 17 ] Available from: http://www.sciencedirect.com/science/journal/00104655
Trabalho de evento-anais periodico
Glassy states in the stochastic Potts model (2009)
Oliveira, Mário José de
Source: Computer Physics Communications. Conference titles: Conference on Computational Physics. Unidade: IF
Subjects: FÍSICA COMPUTACIONAL, PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Mário José de. Glassy states in the stochastic Potts model. Computer Physics Communications. Amsterdam: Elsevier Science. Disponível em: http://www.sciencedirect.com/science/journal/00104655. Acesso em: 17 ago. 2024. , 2009
APA
Oliveira, M. J. de. (2009). Glassy states in the stochastic Potts model. Computer Physics Communications. Amsterdam: Elsevier Science. Recuperado de http://www.sciencedirect.com/science/journal/00104655
NLM
Oliveira MJ de. Glassy states in the stochastic Potts model [Internet]. Computer Physics Communications. 2009 ; 180( 4): 480-484.[citado 2024 ago. 17 ] Available from: http://www.sciencedirect.com/science/journal/00104655
Vancouver
Oliveira MJ de. Glassy states in the stochastic Potts model [Internet]. Computer Physics Communications. 2009 ; 180( 4): 480-484.[citado 2024 ago. 17 ] Available from: http://www.sciencedirect.com/science/journal/00104655
Artigo de periodico
Extending the use of canonical and microcanonical Monte Carlo algorithms to spin models (2009)
Fiore, Carlos Eduardo
Source: Computer Physics Communications. Unidade: IF
Subjects: MUDANÇA DE FASE, ALGORITMOS, MODELO DE ISING, SIMULAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FIORE, Carlos Eduardo. Extending the use of canonical and microcanonical Monte Carlo algorithms to spin models. Computer Physics Communications, v. 180, n. 9, p. 1434-1441, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.cpc.2009.03.001. Acesso em: 17 ago. 2024.
APA
Fiore, C. E. (2009). Extending the use of canonical and microcanonical Monte Carlo algorithms to spin models. Computer Physics Communications, 180( 9), 1434-1441. doi:10.1016/j.cpc.2009.03.001
NLM
Fiore CE. Extending the use of canonical and microcanonical Monte Carlo algorithms to spin models [Internet]. Computer Physics Communications. 2009 ; 180( 9): 1434-1441.[citado 2024 ago. 17 ] Available from: https://doi.org/10.1016/j.cpc.2009.03.001
Vancouver
Fiore CE. Extending the use of canonical and microcanonical Monte Carlo algorithms to spin models [Internet]. Computer Physics Communications. 2009 ; 180( 9): 1434-1441.[citado 2024 ago. 17 ] Available from: https://doi.org/10.1016/j.cpc.2009.03.001

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