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  • Source: Computational Optimization and Applications. Unidade: IME

    Assunto: OTIMIZAÇÃO NÃO LINEAR

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    • ABNT

      BIRGIN, Ernesto Julian Goldberg e HAESER, Gabriel e MARTÍNEZ, José Mário. Safeguarded augmented Lagrangian algorithms with scaled stopping criterion for the subproblems. Computational Optimization and Applications, v. 91, p. 491-509, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10589-024-00572-w. Acesso em: 08 nov. 2025.
    • APA

      Birgin, E. J. G., Haeser, G., & Martínez, J. M. (2025). Safeguarded augmented Lagrangian algorithms with scaled stopping criterion for the subproblems. Computational Optimization and Applications, 91, 491-509. doi:10.1007/s10589-024-00572-w
    • NLM

      Birgin EJG, Haeser G, Martínez JM. Safeguarded augmented Lagrangian algorithms with scaled stopping criterion for the subproblems [Internet]. Computational Optimization and Applications. 2025 ; 91 491-509.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-024-00572-w
    • Vancouver

      Birgin EJG, Haeser G, Martínez JM. Safeguarded augmented Lagrangian algorithms with scaled stopping criterion for the subproblems [Internet]. Computational Optimization and Applications. 2025 ; 91 491-509.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-024-00572-w
  • Source: Computational Optimization and Applications. Unidade: IME

    Subjects: ANÁLISE CONVEXA, ÁLGEBRAS DE JORDAN

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    • ABNT

      ANDREANI, Roberto et al. Strong global convergence properties of algorithms for nonlinear symmetric cone programming. Computational Optimization and Applications, v. 91, p. 397-421, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10589-024-00642-z. Acesso em: 08 nov. 2025.
    • APA

      Andreani, R., Haeser, G., Ramos, A., Santos, D. O., Secchin, L. D., & Serranoni, A. (2025). Strong global convergence properties of algorithms for nonlinear symmetric cone programming. Computational Optimization and Applications, 91, 397-421. doi:10.1007/s10589-024-00642-z
    • NLM

      Andreani R, Haeser G, Ramos A, Santos DO, Secchin LD, Serranoni A. Strong global convergence properties of algorithms for nonlinear symmetric cone programming [Internet]. Computational Optimization and Applications. 2025 ;91 397-421.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-024-00642-z
    • Vancouver

      Andreani R, Haeser G, Ramos A, Santos DO, Secchin LD, Serranoni A. Strong global convergence properties of algorithms for nonlinear symmetric cone programming [Internet]. Computational Optimization and Applications. 2025 ;91 397-421.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-024-00642-z
  • Source: Computational Optimization and Applications. Unidade: IME

    Subjects: INTERPOLAÇÃO, MÉTODOS ITERATIVOS, APROXIMAÇÃO POR MÍNIMOS QUADRADOS, MÉTODOS NUMÉRICOS

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    • ABNT

      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients. Computational Optimization and Applications, v. 81, p. 689–715, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10589-021-00344-w. Acesso em: 08 nov. 2025.
    • APA

      Birgin, E. J. G., & Martínez, J. M. (2022). Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients. Computational Optimization and Applications, 81, 689–715. doi:10.1007/s10589-021-00344-w
    • NLM

      Birgin EJG, Martínez JM. Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients [Internet]. Computational Optimization and Applications. 2022 ; 81 689–715.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-021-00344-w
    • Vancouver

      Birgin EJG, Martínez JM. Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients [Internet]. Computational Optimization and Applications. 2022 ; 81 689–715.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-021-00344-w
  • Source: Computational Optimization and Applications. Unidade: IME

    Subjects: PROGRAMAÇÃO NÃO LINEAR, MÉTODOS NUMÉRICOS, PROGRAMAÇÃO MATEMÁTICA

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    • ABNT

      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. Block coordinate descent for smooth nonconvex constrained minimization. Computational Optimization and Applications, v. 83, p. 1-27, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10589-022-00389-5. Acesso em: 08 nov. 2025.
    • APA

      Birgin, E. J. G., & Martínez, J. M. (2022). Block coordinate descent for smooth nonconvex constrained minimization. Computational Optimization and Applications, 83, 1-27. doi:10.1007/s10589-022-00389-5
    • NLM

      Birgin EJG, Martínez JM. Block coordinate descent for smooth nonconvex constrained minimization [Internet]. Computational Optimization and Applications. 2022 ; 83 1-27.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-022-00389-5
    • Vancouver

      Birgin EJG, Martínez JM. Block coordinate descent for smooth nonconvex constrained minimization [Internet]. Computational Optimization and Applications. 2022 ; 83 1-27.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-022-00389-5
  • Source: Computational Optimization and Applications. Unidade: IME

    Assunto: PROGRAMAÇÃO NÃO LINEAR

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    • ABNT

      BIRGIN, Ernesto Julian Goldberg e MARTINEZ, J. M. Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization. Computational Optimization and Applications, v. 51, n. 3, p. 941-965, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10589-011-9396-0. Acesso em: 08 nov. 2025.
    • APA

      Birgin, E. J. G., & Martinez, J. M. (2012). Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization. Computational Optimization and Applications, 51( 3), 941-965. doi:10.1007/s10589-011-9396-0
    • NLM

      Birgin EJG, Martinez JM. Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization [Internet]. Computational Optimization and Applications. 2012 ; 51( 3): 941-965.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-011-9396-0
    • Vancouver

      Birgin EJG, Martinez JM. Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization [Internet]. Computational Optimization and Applications. 2012 ; 51( 3): 941-965.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-011-9396-0
  • Source: Computational Optimization and Applications. Unidade: IME

    Assunto: PROGRAMAÇÃO NÃO LINEAR

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    • ABNT

      BIRGIN, Ernesto Julian Goldberg e GENTIL, Jan Marcel Paiva. Evaluating bound-constrained minimization software. Computational Optimization and Applications, v. 53, n. 2, p. 347-373, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10589-012-9466-y. Acesso em: 08 nov. 2025.
    • APA

      Birgin, E. J. G., & Gentil, J. M. P. (2012). Evaluating bound-constrained minimization software. Computational Optimization and Applications, 53( 2), 347-373. doi:10.1007/s10589-012-9466-y
    • NLM

      Birgin EJG, Gentil JMP. Evaluating bound-constrained minimization software [Internet]. Computational Optimization and Applications. 2012 ; 53( 2): 347-373.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-012-9466-y
    • Vancouver

      Birgin EJG, Gentil JMP. Evaluating bound-constrained minimization software [Internet]. Computational Optimization and Applications. 2012 ; 53( 2): 347-373.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-012-9466-y
  • Source: Computational Optimization and Applications. Unidade: IME

    Subjects: DUALIDADE EM VARIEDADES, FUNÇÕES GENERALIZADAS

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    • ABNT

      ANDRÉ, Thiago Afonso de e SILVA, Paulo J. S. Exact penalties for variational inequalities with applications to nonlinear complementarity problems. Computational Optimization and Applications, v. 47, n. 3, p. 401-429, 2009Tradução . . Disponível em: https://doi.org/10.1007/s10589-008-9232-3. Acesso em: 08 nov. 2025.
    • APA

      André, T. A. de, & Silva, P. J. S. (2009). Exact penalties for variational inequalities with applications to nonlinear complementarity problems. Computational Optimization and Applications, 47( 3), 401-429. doi:10.1007/s10589-008-9232-3
    • NLM

      André TA de, Silva PJS. Exact penalties for variational inequalities with applications to nonlinear complementarity problems [Internet]. Computational Optimization and Applications. 2009 ; 47( 3): 401-429.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-008-9232-3
    • Vancouver

      André TA de, Silva PJS. Exact penalties for variational inequalities with applications to nonlinear complementarity problems [Internet]. Computational Optimization and Applications. 2009 ; 47( 3): 401-429.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-008-9232-3
  • Source: Computational Optimization and Applications. Unidade: IME

    Assunto: PROGRAMAÇÃO NÃO LINEAR

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    • ABNT

      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. Structured minimal-memory inexact quasi-Newton method and secant preconditioners for augmented Lagrangian optimization. Computational Optimization and Applications, v. 39, n. 1, p. 1-16, 2008Tradução . . Disponível em: https://doi.org/10.1007/s10589-007-9050-z. Acesso em: 08 nov. 2025.
    • APA

      Birgin, E. J. G., & Martínez, J. M. (2008). Structured minimal-memory inexact quasi-Newton method and secant preconditioners for augmented Lagrangian optimization. Computational Optimization and Applications, 39( 1), 1-16. doi:10.1007/s10589-007-9050-z
    • NLM

      Birgin EJG, Martínez JM. Structured minimal-memory inexact quasi-Newton method and secant preconditioners for augmented Lagrangian optimization [Internet]. Computational Optimization and Applications. 2008 ; 39( 1): 1-16.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-007-9050-z
    • Vancouver

      Birgin EJG, Martínez JM. Structured minimal-memory inexact quasi-Newton method and secant preconditioners for augmented Lagrangian optimization [Internet]. Computational Optimization and Applications. 2008 ; 39( 1): 1-16.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-007-9050-z
  • Source: Computational Optimization and Applications. Unidade: IME

    Assunto: PROGRAMAÇÃO NÃO LINEAR

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    • ABNT

      BIRGIN, Ernesto Julian Goldberg e CASTILLO, Romulo A e MARTINEZ, Jesus Manuel. Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems. Computational Optimization and Applications, v. 31, n. 1, p. 31-55, 2005Tradução . . Disponível em: https://doi.org/10.1007/s10589-005-1066-7. Acesso em: 08 nov. 2025.
    • APA

      Birgin, E. J. G., Castillo, R. A., & Martinez, J. M. (2005). Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems. Computational Optimization and Applications, 31( 1), 31-55. doi:10.1007/s10589-005-1066-7
    • NLM

      Birgin EJG, Castillo RA, Martinez JM. Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems [Internet]. Computational Optimization and Applications. 2005 ; 31( 1): 31-55.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-005-1066-7
    • Vancouver

      Birgin EJG, Castillo RA, Martinez JM. Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems [Internet]. Computational Optimization and Applications. 2005 ; 31( 1): 31-55.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-005-1066-7

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