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Filtros : "FUNÇÕES CONVEXAS" Limpar

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  • Artigo de periodico

    A Markovian incremental stochastic subgradient algorithm (2023)

    Massambone, Rafael ; Costa, Eduardo Fontoura ; Helou, Elias Salomão

    Source: IEEE Transactions on Automatic Control. Unidade: ICMC

    Subjects: CADEIAS DE MARKOV, PROCESSOS ESTOCÁSTICOS, ALGORITMOS, FUNÇÕES CONVEXAS

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    • ABNT

      MASSAMBONE, Rafael e COSTA, Eduardo Fontoura e HELOU, Elias Salomão. A Markovian incremental stochastic subgradient algorithm. IEEE Transactions on Automatic Control, v. 68, n. 1, p. 124-139, 2023Tradução . . Disponível em: https://doi.org/10.1109/TAC.2021.3137274. Acesso em: 23 nov. 2025.

    • APA

      Massambone, R., Costa, E. F., & Helou, E. S. (2023). A Markovian incremental stochastic subgradient algorithm. IEEE Transactions on Automatic Control, 68( 1), 124-139. doi:10.1109/TAC.2021.3137274

    • NLM

      Massambone R, Costa EF, Helou ES. A Markovian incremental stochastic subgradient algorithm [Internet]. IEEE Transactions on Automatic Control. 2023 ; 68( 1): 124-139.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1109/TAC.2021.3137274

    • Vancouver

      Massambone R, Costa EF, Helou ES. A Markovian incremental stochastic subgradient algorithm [Internet]. IEEE Transactions on Automatic Control. 2023 ; 68( 1): 124-139.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1109/TAC.2021.3137274

  • Artigo de periodico

    Fast proximal gradient methods for nonsmooth convex optimization for tomographic image reconstruction (2020)

    Helou, Elias Salomão ; Zibetti, Marcelo Victor Wüst ; Herman, Gabor T

    Source: Sensing and Imaging. Unidade: ICMC

    Subjects: FUNÇÕES CONVEXAS, TOMOGRAFIA, MÉTODOS NUMÉRICOS

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    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      HELOU, Elias Salomão e ZIBETTI, Marcelo Victor Wüst e HERMAN, Gabor T. Fast proximal gradient methods for nonsmooth convex optimization for tomographic image reconstruction. Sensing and Imaging, v. 21, p. 1-31, 2020Tradução . . Disponível em: https://doi.org/10.1007/s11220-020-00309-z. Acesso em: 23 nov. 2025.

    • APA

      Helou, E. S., Zibetti, M. V. W., & Herman, G. T. (2020). Fast proximal gradient methods for nonsmooth convex optimization for tomographic image reconstruction. Sensing and Imaging, 21, 1-31. doi:10.1007/s11220-020-00309-z

    • NLM

      Helou ES, Zibetti MVW, Herman GT. Fast proximal gradient methods for nonsmooth convex optimization for tomographic image reconstruction [Internet]. Sensing and Imaging. 2020 ; 21 1-31.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1007/s11220-020-00309-z

    • Vancouver

      Helou ES, Zibetti MVW, Herman GT. Fast proximal gradient methods for nonsmooth convex optimization for tomographic image reconstruction [Internet]. Sensing and Imaging. 2020 ; 21 1-31.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1007/s11220-020-00309-z
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