Filtros : "regularization" Limpar

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  • Source: Journal of Inverse and Ill-posed Problems. Unidade: IME

    Subjects: TOMOGRAFIA, IMPEDÂNCIA ELÉTRICA, EQUAÇÕES DIFERENCIAIS PARCIAIS, PROBLEMAS INVERSOS, ANÁLISE NUMÉRICA

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    • ABNT

      DÍAZ-AVALOS, Josué D. e KUHL, Nelson Mugayar. Regularizations for an all-at-once formulation of the electrical impedance tomography problem. Journal of Inverse and Ill-posed Problems, 2025Tradução . . Disponível em: https://doi.org/10.1515/jiip-2025-0030. Acesso em: 02 jan. 2026.
    • APA

      Díaz-Avalos, J. D., & Kuhl, N. M. (2025). Regularizations for an all-at-once formulation of the electrical impedance tomography problem. Journal of Inverse and Ill-posed Problems. doi:10.1515/jiip-2025-0030
    • NLM

      Díaz-Avalos JD, Kuhl NM. Regularizations for an all-at-once formulation of the electrical impedance tomography problem [Internet]. Journal of Inverse and Ill-posed Problems. 2025 ;[citado 2026 jan. 02 ] Available from: https://doi.org/10.1515/jiip-2025-0030
    • Vancouver

      Díaz-Avalos JD, Kuhl NM. Regularizations for an all-at-once formulation of the electrical impedance tomography problem [Internet]. Journal of Inverse and Ill-posed Problems. 2025 ;[citado 2026 jan. 02 ] Available from: https://doi.org/10.1515/jiip-2025-0030
  • Source: NMR in Biomedicine. Unidade: ICMC

    Subjects: RESSONÂNCIA MAGNÉTICA, PROBLEMAS INVERSOS

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      ZIBETTI, Marcelo Victor Wüst et al. Fast multicomponent 3D-T1ρ relaxometry. NMR in Biomedicine, v. 33, n. 12, p. 1-19, 2020Tradução . . Disponível em: https://doi.org/10.1002/nbm.4318. Acesso em: 02 jan. 2026.
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      Zibetti, M. V. W., Helou, E. S., Sharafi, A., & Regatte, R. R. (2020). Fast multicomponent 3D-T1ρ relaxometry. NMR in Biomedicine, 33( 12), 1-19. doi:10.1002/nbm.4318
    • NLM

      Zibetti MVW, Helou ES, Sharafi A, Regatte RR. Fast multicomponent 3D-T1ρ relaxometry [Internet]. NMR in Biomedicine. 2020 ; 33( 12): 1-19.[citado 2026 jan. 02 ] Available from: https://doi.org/10.1002/nbm.4318
    • Vancouver

      Zibetti MVW, Helou ES, Sharafi A, Regatte RR. Fast multicomponent 3D-T1ρ relaxometry [Internet]. NMR in Biomedicine. 2020 ; 33( 12): 1-19.[citado 2026 jan. 02 ] Available from: https://doi.org/10.1002/nbm.4318
  • Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, DESCOBERTA DE CONHECIMENTO

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      SANTOS, Brucce Neves dos e MARCACINI, Ricardo Marcondes e REZENDE, Solange Oliveira. A sampling-based framework for transductive classification in information networks. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00120. Acesso em: 02 jan. 2026.
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      Santos, B. N. dos, Marcacini, R. M., & Rezende, S. O. (2019). A sampling-based framework for transductive classification in information networks. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00120
    • NLM

      Santos BN dos, Marcacini RM, Rezende SO. A sampling-based framework for transductive classification in information networks [Internet]. Proceedings. 2019 ;[citado 2026 jan. 02 ] Available from: https://doi.org/10.1109/BRACIS.2019.00120
    • Vancouver

      Santos BN dos, Marcacini RM, Rezende SO. A sampling-based framework for transductive classification in information networks [Internet]. Proceedings. 2019 ;[citado 2026 jan. 02 ] Available from: https://doi.org/10.1109/BRACIS.2019.00120
  • Source: Computational Optimization and Applications. Unidade: IME

    Subjects: OTIMIZAÇÃO MATEMÁTICA, PROGRAMAÇÃO MATEMÁTICA

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      BIRGIN, Ernesto Julian Goldberg e MARTINEZ, José Mario. A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization. Computational Optimization and Applications, v. 73, n. 3, p. 707-753, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10589-019-00089-7. Acesso em: 02 jan. 2026.
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      Birgin, E. J. G., & Martinez, J. M. (2019). A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization. Computational Optimization and Applications, 73( 3), 707-753. doi:10.1007/s10589-019-00089-7
    • NLM

      Birgin EJG, Martinez JM. A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization [Internet]. Computational Optimization and Applications. 2019 ; 73( 3): 707-753.[citado 2026 jan. 02 ] Available from: https://doi.org/10.1007/s10589-019-00089-7
    • Vancouver

      Birgin EJG, Martinez JM. A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization [Internet]. Computational Optimization and Applications. 2019 ; 73( 3): 707-753.[citado 2026 jan. 02 ] Available from: https://doi.org/10.1007/s10589-019-00089-7
  • Source: SIAM Journal on Optimization. Unidade: IME

    Subjects: PROGRAMAÇÃO NÃO LINEAR, PROGRAMAÇÃO MATEMÁTICA, COMPUTABILIDADE E COMPLEXIDADE, ANÁLISE DE ALGORITMOS

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      BIRGIN, Ernesto Julian Goldberg e MARTINEZ, J M. On regularization and active-set methods with complexity for constrained optimization. SIAM Journal on Optimization, v. 28, n. 2, p. 1367-1395, 2018Tradução . . Disponível em: https://doi.org/10.1137/17M1127107. Acesso em: 02 jan. 2026.
    • APA

      Birgin, E. J. G., & Martinez, J. M. (2018). On regularization and active-set methods with complexity for constrained optimization. SIAM Journal on Optimization, 28( 2), 1367-1395. doi:10.1137/17M1127107
    • NLM

      Birgin EJG, Martinez JM. On regularization and active-set methods with complexity for constrained optimization [Internet]. SIAM Journal on Optimization. 2018 ; 28( 2): 1367-1395.[citado 2026 jan. 02 ] Available from: https://doi.org/10.1137/17M1127107
    • Vancouver

      Birgin EJG, Martinez JM. On regularization and active-set methods with complexity for constrained optimization [Internet]. SIAM Journal on Optimization. 2018 ; 28( 2): 1367-1395.[citado 2026 jan. 02 ] Available from: https://doi.org/10.1137/17M1127107

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