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Filtros : "PROGRAMAÇÃO ESTOCÁSTICA" "Estados Unidos" Removido: "Networks and Spatial Economics" Limpar

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  • Artigo de periodico

    Seasonal hydropower planning for data-scarce regions using multimodel ensemble forecasts, remote sensing data, and stochastic programming (2019)

    Koppa, Akash ; Gebremichael, Mekonnen ; Zambon, Renato Carlos ; Yeh, William W-G. ; Hopson, Thomas M.

    Source: Water Resources Research. Unidade: EP

    Subjects: PLANEJAMENTO ENERGÉTICO, RESERVATÓRIOS, PROGRAMAÇÃO ESTOCÁSTICA

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      KOPPA, Akash et al. Seasonal hydropower planning for data-scarce regions using multimodel ensemble forecasts, remote sensing data, and stochastic programming. Water Resources Research, v. No 2019, n. 11 p. 8583-8607, 2019Tradução . . Disponível em: https://doi.org/10.1029/2019WR025228. Acesso em: 01 dez. 2025.

    • APA

      Koppa, A., Gebremichael, M., Zambon, R. C., Yeh, W. W. -G., & Hopson, T. M. (2019). Seasonal hydropower planning for data-scarce regions using multimodel ensemble forecasts, remote sensing data, and stochastic programming. Water Resources Research, No 2019( 11 p. 8583-8607). doi:10.1029/2019WR025228

    • NLM

      Koppa A, Gebremichael M, Zambon RC, Yeh WW-G, Hopson TM. Seasonal hydropower planning for data-scarce regions using multimodel ensemble forecasts, remote sensing data, and stochastic programming [Internet]. Water Resources Research. 2019 ; No 2019( 11 p. 8583-8607):[citado 2025 dez. 01 ] Available from: https://doi.org/10.1029/2019WR025228

    • Vancouver

      Koppa A, Gebremichael M, Zambon RC, Yeh WW-G, Hopson TM. Seasonal hydropower planning for data-scarce regions using multimodel ensemble forecasts, remote sensing data, and stochastic programming [Internet]. Water Resources Research. 2019 ; No 2019( 11 p. 8583-8607):[citado 2025 dez. 01 ] Available from: https://doi.org/10.1029/2019WR025228

  • Artigo de periodico

    On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors (2018)

    Birgin, Ernesto Julian Goldberg ; Krejic, N; Martínez, J. M

    Source: Mathematics of Computation. Unidade: IME

    Subjects: PROGRAMAÇÃO MATEMÁTICA, MÉTODOS NUMÉRICOS DE OTIMIZAÇÃO, PROGRAMAÇÃO NÃO LINEAR, PROGRAMAÇÃO ESTOCÁSTICA

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    • ABNT

      BIRGIN, Ernesto Julian Goldberg e KREJIC, N e MARTÍNEZ, J. M. On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors. Mathematics of Computation, v. 87, n. 311, p. 1307-1326, 2018Tradução . . Disponível em: https://doi.org/10.1090/mcom/3246. Acesso em: 01 dez. 2025.

    • APA

      Birgin, E. J. G., Krejic, N., & Martínez, J. M. (2018). On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors. Mathematics of Computation, 87( 311), 1307-1326. doi:10.1090/mcom/3246

    • NLM

      Birgin EJG, Krejic N, Martínez JM. On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors [Internet]. Mathematics of Computation. 2018 ; 87( 311): 1307-1326.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1090/mcom/3246

    • Vancouver

      Birgin EJG, Krejic N, Martínez JM. On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors [Internet]. Mathematics of Computation. 2018 ; 87( 311): 1307-1326.[citado 2025 dez. 01 ] Available from: https://doi.org/10.1090/mcom/3246
  • 1

1 - 2 (2 records)

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