Filtros : "Haeser, Gabriel" "IME-MAP" "Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ)" Limpar

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  • Source: Computational Optimization and Applications. Unidade: IME

    Subjects: PROGRAMAÇÃO NÃO LINEAR, PROGRAMAÇÃO MATEMÁTICA, MÉTODOS NUMÉRICOS

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    • ABNT

      ANDREANI, Roberto et al. On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming. Computational Optimization and Applications, v. 79, p. 633-648, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10589-021-00281-8. Acesso em: 13 jun. 2024.
    • APA

      Andreani, R., Fukuda, E. H., Haeser, G., Santos, D. O., & Secchin, L. D. (2021). On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming. Computational Optimization and Applications, 79, 633-648. doi:10.1007/s10589-021-00281-8
    • NLM

      Andreani R, Fukuda EH, Haeser G, Santos DO, Secchin LD. On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming [Internet]. Computational Optimization and Applications. 2021 ; 79 633-648.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1007/s10589-021-00281-8
    • Vancouver

      Andreani R, Fukuda EH, Haeser G, Santos DO, Secchin LD. On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming [Internet]. Computational Optimization and Applications. 2021 ; 79 633-648.[citado 2024 jun. 13 ] Available from: https://doi.org/10.1007/s10589-021-00281-8

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