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Filtros : "Computational Optimization and Applications" "Financiado pelo CNPq" Removido: "PROGRAMAÇÃO NÃO LINEAR" Limpar

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    Towards an efficient augmented Lagrangian method for convex quadratic programming (2020)

    Bueno, Luís Felipe ; Haeser, Gabriel ; Santos, Luiz-Rafael

    Source: Computational Optimization and Applications. Conference titles: Brazilian Workshop on Continuous Optimization. Unidade: IME

    Assunto: PROGRAMAÇÃO MATEMÁTICA

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    • ABNT

      BUENO, Luís Felipe e HAESER, Gabriel e SANTOS, Luiz-Rafael. Towards an efficient augmented Lagrangian method for convex quadratic programming. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s10589-019-00161-2. Acesso em: 19 nov. 2025. , 2020

    • APA

      Bueno, L. F., Haeser, G., & Santos, L. -R. (2020). Towards an efficient augmented Lagrangian method for convex quadratic programming. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/s10589-019-00161-2

    • NLM

      Bueno LF, Haeser G, Santos L-R. Towards an efficient augmented Lagrangian method for convex quadratic programming [Internet]. Computational Optimization and Applications. 2020 ; 76( 3): 767-800.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/s10589-019-00161-2

    • Vancouver

      Bueno LF, Haeser G, Santos L-R. Towards an efficient augmented Lagrangian method for convex quadratic programming [Internet]. Computational Optimization and Applications. 2020 ; 76( 3): 767-800.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/s10589-019-00161-2

  • Artigo de periodico

    A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization (2019)

    Birgin, Ernesto Julian Goldberg ; Martinez, José Mario

    Source: Computational Optimization and Applications. Unidade: IME

    Subjects: OTIMIZAÇÃO MATEMÁTICA, PROGRAMAÇÃO MATEMÁTICA

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    • ABNT

      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: 19 nov. 2025.

    • APA

      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 2025 nov. 19 ] 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 2025 nov. 19 ] Available from: https://doi.org/10.1007/s10589-019-00089-7
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