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Filtros : "Computational Optimization and Applications" "MÉTODOS NUMÉRICOS" Removido: "2022" Limpar

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  • Artigo de periodico

    On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming (2021)

    Andreani, Roberto ; Fukuda, Ellen Hidemi ; Haeser, Gabriel ; Santos, D. O.; Secchin, Leornardo Delarmelina

    Source: Computational Optimization and Applications. Unidade: IME

    Subjects: PROGRAMAÇÃO NÃO LINEAR, PROGRAMAÇÃO MATEMÁTICA, MÉTODOS NUMÉRICOS

    PrivadoAcesso à fonteDOIHow to cite
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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: 05 dez. 2025.

    • 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 2025 dez. 05 ] 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 2025 dez. 05 ] Available from: https://doi.org/10.1007/s10589-021-00281-8

  • Artigo de periodico

    Nonmonotone projected gradient methods based on barrier and Euclidean distances (2007)

    Auslender, Alfred; Silva, Paulo J. S. ; Teboulle, Marc

    Source: Computational Optimization and Applications. Unidade: IME

    Subjects: OTIMIZAÇÃO RESTRITA, MÉTODOS NUMÉRICOS, OTIMIZAÇÃO CONVEXA, TEORIA ESPECTRAL

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    • ABNT

      AUSLENDER, Alfred e SILVA, Paulo J. S. e TEBOULLE, Marc. Nonmonotone projected gradient methods based on barrier and Euclidean distances. Computational Optimization and Applications, v. 38, n. 3, p. 305-327, 2007Tradução . . Disponível em: https://doi.org/10.1007/s10589-007-9025-0. Acesso em: 05 dez. 2025.

    • APA

      Auslender, A., Silva, P. J. S., & Teboulle, M. (2007). Nonmonotone projected gradient methods based on barrier and Euclidean distances. Computational Optimization and Applications, 38( 3), 305-327. doi:10.1007/s10589-007-9025-0

    • NLM

      Auslender A, Silva PJS, Teboulle M. Nonmonotone projected gradient methods based on barrier and Euclidean distances [Internet]. Computational Optimization and Applications. 2007 ; 38( 3): 305-327.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1007/s10589-007-9025-0

    • Vancouver

      Auslender A, Silva PJS, Teboulle M. Nonmonotone projected gradient methods based on barrier and Euclidean distances [Internet]. Computational Optimization and Applications. 2007 ; 38( 3): 305-327.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1007/s10589-007-9025-0
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