Filtros : "Indexado no MathSciNet" "MODELOS PARA PROCESSOS ESTOCÁSTICOS" Removidos: "Web of Science" "Scientific Reports" Limpar

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  • Source: Computers and Fluids. Unidade: ICMC

    Subjects: TURBULÊNCIA ATMOSFÉRICA, SISTEMAS DINÂMICOS, MODELOS PARA PROCESSOS ESTOCÁSTICOS, DINÂMICA DOS FLUÍDOS

    Versão AceitaAcesso à fonteDOIHow to cite
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    • ABNT

      FREIRE, Lívia Souza e CHAMECKI, Marcelo. Large-eddy simulation of smooth and rough channel flows using a one-dimensional stochastic wall model. Computers and Fluids, v. No 2021, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compfluid.2021.105135. Acesso em: 15 out. 2024.
    • APA

      Freire, L. S., & Chamecki, M. (2021). Large-eddy simulation of smooth and rough channel flows using a one-dimensional stochastic wall model. Computers and Fluids, No 2021, 1-17. doi:10.1016/j.compfluid.2021.105135
    • NLM

      Freire LS, Chamecki M. Large-eddy simulation of smooth and rough channel flows using a one-dimensional stochastic wall model [Internet]. Computers and Fluids. 2021 ; No 2021 1-17.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.compfluid.2021.105135
    • Vancouver

      Freire LS, Chamecki M. Large-eddy simulation of smooth and rough channel flows using a one-dimensional stochastic wall model [Internet]. Computers and Fluids. 2021 ; No 2021 1-17.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.compfluid.2021.105135
  • Source: International Journal of Approximate Reasoning. Unidades: IME, EP

    Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS, INTELIGÊNCIA ARTIFICIAL, PROBABILIDADE APLICADA

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    • ABNT

      MAUÁ, Denis Deratani e COZMAN, Fabio Gagliardi. Fast local search methods for solving limited memory influence diagrams. International Journal of Approximate Reasoning, v. 68, n. Ja 2016, p. 230-245, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2015.05.003. Acesso em: 15 out. 2024.
    • APA

      Mauá, D. D., & Cozman, F. G. (2016). Fast local search methods for solving limited memory influence diagrams. International Journal of Approximate Reasoning, 68( Ja 2016), 230-245. doi:10.1016/j.ijar.2015.05.003
    • NLM

      Mauá DD, Cozman FG. Fast local search methods for solving limited memory influence diagrams [Internet]. International Journal of Approximate Reasoning. 2016 ; 68( Ja 2016): 230-245.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.ijar.2015.05.003
    • Vancouver

      Mauá DD, Cozman FG. Fast local search methods for solving limited memory influence diagrams [Internet]. International Journal of Approximate Reasoning. 2016 ; 68( Ja 2016): 230-245.[citado 2024 out. 15 ] Available from: https://doi.org/10.1016/j.ijar.2015.05.003
  • Source: Brazilian Journal of Probability and Statistics. Unidade: IME

    Assunto: MODELOS PARA PROCESSOS ESTOCÁSTICOS

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    • ABNT

      SALASAR, Luis Ernesto Bueno e LEITE, Jose Galvão e LOUZADA, Francisco. A generalized negative binomial distribution based on an extended Poisson process. Brazilian Journal of Probability and Statistics, v. 24, n. 1, p. 91-90, 2010Tradução . . Disponível em: https://doi.org/10.1214/09-BJPS103. Acesso em: 15 out. 2024.
    • APA

      Salasar, L. E. B., Leite, J. G., & Louzada, F. (2010). A generalized negative binomial distribution based on an extended Poisson process. Brazilian Journal of Probability and Statistics, 24( 1), 91-90. doi:10.1214/09-BJPS103
    • NLM

      Salasar LEB, Leite JG, Louzada F. A generalized negative binomial distribution based on an extended Poisson process [Internet]. Brazilian Journal of Probability and Statistics. 2010 ; 24( 1): 91-90.[citado 2024 out. 15 ] Available from: https://doi.org/10.1214/09-BJPS103
    • Vancouver

      Salasar LEB, Leite JG, Louzada F. A generalized negative binomial distribution based on an extended Poisson process [Internet]. Brazilian Journal of Probability and Statistics. 2010 ; 24( 1): 91-90.[citado 2024 out. 15 ] Available from: https://doi.org/10.1214/09-BJPS103

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