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  • Source: Optimization Methods and Software. Unidade: IME

    Subjects: PROGRAMAÇÃO LINEAR, PROGRAMAÇÃO MATEMÁTICA MÉTODOS

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      BIRGIN, Ernesto Julian Goldberg e BUENO, Luís Felipe e MARTÍNEZ, José Mário. On the complexity of solving feasibility problems with regularized models. Optimization Methods and Software, v. 37, n. 2, p. 405-424, 2022Tradução . . Disponível em: https://doi.org/10.1080/10556788.2020.1786564. Acesso em: 09 jul. 2024.
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      Birgin, E. J. G., Bueno, L. F., & Martínez, J. M. (2022). On the complexity of solving feasibility problems with regularized models. Optimization Methods and Software, 37( 2), 405-424. doi:10.1080/10556788.2020.1786564
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      Birgin EJG, Bueno LF, Martínez JM. On the complexity of solving feasibility problems with regularized models [Internet]. Optimization Methods and Software. 2022 ; 37( 2): 405-424.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1080/10556788.2020.1786564
    • Vancouver

      Birgin EJG, Bueno LF, Martínez JM. On the complexity of solving feasibility problems with regularized models [Internet]. Optimization Methods and Software. 2022 ; 37( 2): 405-424.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1080/10556788.2020.1786564
  • Source: TOP. Unidade: IME

    Subjects: PROGRAMAÇÃO NÃO LINEAR, PROGRAMAÇÃO MATEMÁTICA

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      BIRGIN, Ernesto Julian Goldberg et al. On the solution of linearly constrained optimization problems by means of barrier algorithms. TOP, v. 29, n. 2, p. 417-441, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11750-020-00559-w. Acesso em: 09 jul. 2024.
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      Birgin, E. J. G., Gardenghi, J. L. C., Martínez, J. M., & Santos, S. A. (2021). On the solution of linearly constrained optimization problems by means of barrier algorithms. TOP, 29( 2), 417-441. doi:10.1007/s11750-020-00559-w
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      Birgin EJG, Gardenghi JLC, Martínez JM, Santos SA. On the solution of linearly constrained optimization problems by means of barrier algorithms [Internet]. TOP. 2021 ; 29( 2): 417-441.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11750-020-00559-w
    • Vancouver

      Birgin EJG, Gardenghi JLC, Martínez JM, Santos SA. On the solution of linearly constrained optimization problems by means of barrier algorithms [Internet]. TOP. 2021 ; 29( 2): 417-441.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11750-020-00559-w
  • Source: Numerical Algorithms. Unidade: IME

    Subjects: OTIMIZAÇÃO NÃO LINEAR, COMPUTABILIDADE E COMPLEXIDADE

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      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário e RAMOS, Alberto. On constrained optimization with nonconvex regularization. Numerical Algorithms, v. 86, n. 3, p. 1165-1188, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11075-020-00928-3. Acesso em: 09 jul. 2024.
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      Birgin, E. J. G., Martínez, J. M., & Ramos, A. (2021). On constrained optimization with nonconvex regularization. Numerical Algorithms, 86( 3), 1165-1188. doi:10.1007/s11075-020-00928-3
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      Birgin EJG, Martínez JM, Ramos A. On constrained optimization with nonconvex regularization [Internet]. Numerical Algorithms. 2021 ; 86( 3): 1165-1188.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11075-020-00928-3
    • Vancouver

      Birgin EJG, Martínez JM, Ramos A. On constrained optimization with nonconvex regularization [Internet]. Numerical Algorithms. 2021 ; 86( 3): 1165-1188.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11075-020-00928-3
  • Source: European Journal of Operational Research. Unidades: IME, EP

    Subjects: PROGRAMAÇÃO MATEMÁTICA, SCHEDULING

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      LUNARDI, Willian Tessaro et al. Metaheuristics for the online printing shop scheduling problem. European Journal of Operational Research, v. 293, n. 2, p. 419-441, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ejor.2020.12.021. Acesso em: 09 jul. 2024.
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      Lunardi, W. T., Birgin, E. J. G., Ronconi, D. P., & Voos, H. (2021). Metaheuristics for the online printing shop scheduling problem. European Journal of Operational Research, 293( 2), 419-441. doi:10.1016/j.ejor.2020.12.021
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      Lunardi WT, Birgin EJG, Ronconi DP, Voos H. Metaheuristics for the online printing shop scheduling problem [Internet]. European Journal of Operational Research. 2021 ; 293( 2): 419-441.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.ejor.2020.12.021
    • Vancouver

      Lunardi WT, Birgin EJG, Ronconi DP, Voos H. Metaheuristics for the online printing shop scheduling problem [Internet]. European Journal of Operational Research. 2021 ; 293( 2): 419-441.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.ejor.2020.12.021
  • Source: International Transactions in Operational Research. Unidade: IME

    Subjects: PROGRAMAÇÃO MATEMÁTICA, MATEMÁTICA DA COMPUTAÇÃO

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      MARTIN, Mateus et al. Models for the two‐dimensional rectangular single large placement problem with guillotine cuts and constrained pattern. International Transactions in Operational Research, v. 27, n. 2, p. 767-793, 2020Tradução . . Disponível em: https://doi.org/10.1111/itor.12703. Acesso em: 09 jul. 2024.
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      Martin, M., Birgin, E. J. G., Lobato, R. D., Morabito, R., & Munari, P. (2020). Models for the two‐dimensional rectangular single large placement problem with guillotine cuts and constrained pattern. International Transactions in Operational Research, 27( 2), 767-793. doi:10.1111/itor.12703
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      Martin M, Birgin EJG, Lobato RD, Morabito R, Munari P. Models for the two‐dimensional rectangular single large placement problem with guillotine cuts and constrained pattern [Internet]. International Transactions in Operational Research. 2020 ; 27( 2): 767-793.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1111/itor.12703
    • Vancouver

      Martin M, Birgin EJG, Lobato RD, Morabito R, Munari P. Models for the two‐dimensional rectangular single large placement problem with guillotine cuts and constrained pattern [Internet]. International Transactions in Operational Research. 2020 ; 27( 2): 767-793.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1111/itor.12703
  • Source: Computers & Operations Research. Unidades: IME, EP

    Subjects: ALGORITMOS DE SCHEDULING, HEURÍSTICA, PROGRAMAÇÃO DA PRODUÇÃO

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      BIRGIN, Ernesto Julian Goldberg e JESUS FILHO, José Eurípedes Ferreira de e RONCONI, Débora Pretti. A filtered beam search method for the m-machine permutation flowshop scheduling problem minimizing the earliness and tardiness penalties and the waiting time of the jobs. Computers & Operations Research, v. 114, n. 1-14, p. 104824, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2019.104824. Acesso em: 09 jul. 2024.
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      Birgin, E. J. G., Jesus Filho, J. E. F. de, & Ronconi, D. P. (2020). A filtered beam search method for the m-machine permutation flowshop scheduling problem minimizing the earliness and tardiness penalties and the waiting time of the jobs. Computers & Operations Research, 114( 1-14), 104824. doi:10.1016/j.cor.2019.104824
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      Birgin EJG, Jesus Filho JEF de, Ronconi DP. A filtered beam search method for the m-machine permutation flowshop scheduling problem minimizing the earliness and tardiness penalties and the waiting time of the jobs [Internet]. Computers & Operations Research. 2020 ; 114( 1-14): 104824.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.cor.2019.104824
    • Vancouver

      Birgin EJG, Jesus Filho JEF de, Ronconi DP. A filtered beam search method for the m-machine permutation flowshop scheduling problem minimizing the earliness and tardiness penalties and the waiting time of the jobs [Internet]. Computers & Operations Research. 2020 ; 114( 1-14): 104824.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.cor.2019.104824
  • Source: Optimization Letters. Unidade: IME

    Assunto: OTIMIZAÇÃO MATEMÁTICA

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      BIRGIN, Ernesto Julian Goldberg et al. On the use of third-order models with fourth-order regularization for unconstrained optimization. Optimization Letters, v. 14, n. 4, p. 815-838, 2020Tradução . . Disponível em: https://doi.org/10.1007/s11590-019-01395-z. Acesso em: 09 jul. 2024.
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      Birgin, E. J. G., Gardenghi, J. L. C., Martínez, J. M., & Santos, S. A. (2020). On the use of third-order models with fourth-order regularization for unconstrained optimization. Optimization Letters, 14( 4), 815-838. doi:10.1007/s11590-019-01395-z
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      Birgin EJG, Gardenghi JLC, Martínez JM, Santos SA. On the use of third-order models with fourth-order regularization for unconstrained optimization [Internet]. Optimization Letters. 2020 ; 14( 4): 815-838.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11590-019-01395-z
    • Vancouver

      Birgin EJG, Gardenghi JLC, Martínez JM, Santos SA. On the use of third-order models with fourth-order regularization for unconstrained optimization [Internet]. Optimization Letters. 2020 ; 14( 4): 815-838.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11590-019-01395-z
  • Source: Computational and Applied Mathematics. Unidade: IME

    Subjects: PROGRAMAÇÃO NÃO LINEAR, GEOMETRIA ALGÉBRICA

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      BIRGIN, Ernesto Julian Goldberg et al. An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem. Computational and Applied Mathematics, v. 39, 2020Tradução . . Disponível em: https://doi.org/10.1007/s40314-019-0991-5. Acesso em: 09 jul. 2024.
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      Birgin, E. J. G., Gómez, W., Haeser, G., Mito, L. M., & Santos, D. O. (2020). An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem. Computational and Applied Mathematics, 39. doi:10.1007/s40314-019-0991-5
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      Birgin EJG, Gómez W, Haeser G, Mito LM, Santos DO. An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem [Internet]. Computational and Applied Mathematics. 2020 ; 39[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s40314-019-0991-5
    • Vancouver

      Birgin EJG, Gómez W, Haeser G, Mito LM, Santos DO. An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem [Internet]. Computational and Applied Mathematics. 2020 ; 39[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s40314-019-0991-5
  • Source: International Transactions in Operational Research. Unidades: IME, EP

    Assunto: PROGRAMAÇÃO LINEAR

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      BIRGIN, Ernesto Julian Goldberg e ROMÃO, Oberlan Christo e RONCONI, Débora Pretti. The multiperiod two-dimensional non-guillotine cutting stock problem with usable leftovers. International Transactions in Operational Research, v. 27, n. 3, p. 1392-1418, 2020Tradução . . Disponível em: https://doi.org/10.1111/itor.12648. Acesso em: 09 jul. 2024.
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      Birgin, E. J. G., Romão, O. C., & Ronconi, D. P. (2020). The multiperiod two-dimensional non-guillotine cutting stock problem with usable leftovers. International Transactions in Operational Research, 27( 3), 1392-1418. doi:10.1111/itor.12648
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      Birgin EJG, Romão OC, Ronconi DP. The multiperiod two-dimensional non-guillotine cutting stock problem with usable leftovers [Internet]. International Transactions in Operational Research. 2020 ; 27( 3): 1392-1418.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1111/itor.12648
    • Vancouver

      Birgin EJG, Romão OC, Ronconi DP. The multiperiod two-dimensional non-guillotine cutting stock problem with usable leftovers [Internet]. International Transactions in Operational Research. 2020 ; 27( 3): 1392-1418.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1111/itor.12648
  • Source: Optimization Methods and Software. Unidade: IME

    Subjects: PROGRAMAÇÃO NÃO LINEAR, PROGRAMAÇÃO MATEMÁTICA, ANÁLISE DE ALGORITMOS

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      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. Complexity and performance of an Augmented Lagrangian algorithm. Optimization Methods and Software, v. 35, n. 5, p. 885-920, 2020Tradução . . Disponível em: https://doi.org/10.1080/10556788.2020.1746962. Acesso em: 09 jul. 2024.
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      Birgin, E. J. G., & Martínez, J. M. (2020). Complexity and performance of an Augmented Lagrangian algorithm. Optimization Methods and Software, 35( 5), 885-920. doi:10.1080/10556788.2020.1746962
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      Birgin EJG, Martínez JM. Complexity and performance of an Augmented Lagrangian algorithm [Internet]. Optimization Methods and Software. 2020 ; 35( 5): 885-920.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1080/10556788.2020.1746962
    • Vancouver

      Birgin EJG, Martínez JM. Complexity and performance of an Augmented Lagrangian algorithm [Internet]. Optimization Methods and Software. 2020 ; 35( 5): 885-920.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1080/10556788.2020.1746962
  • Source: Mathematics of Computation. Unidade: IME

    Subjects: PROGRAMAÇÃO MATEMÁTICA, MÉTODOS NUMÉRICOS DE OTIMIZAÇÃO, PROGRAMAÇÃO NÃO LINEAR

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      BIRGIN, Ernesto Julian Goldberg e KREJIĆ, Nataša e MARTÍNEZ, José Mário. Iteration and evaluation complexity for the minimization of functions whose computation is intrinsically inexact. Mathematics of Computation, v. 89, p. 253-278, 2020Tradução . . Disponível em: https://doi.org/10.1090/mcom/3445. Acesso em: 09 jul. 2024.
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      Birgin, E. J. G., Krejić, N., & Martínez, J. M. (2020). Iteration and evaluation complexity for the minimization of functions whose computation is intrinsically inexact. Mathematics of Computation, 89, 253-278. doi:10.1090/mcom/3445
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      Birgin EJG, Krejić N, Martínez JM. Iteration and evaluation complexity for the minimization of functions whose computation is intrinsically inexact [Internet]. Mathematics of Computation. 2020 ; 89 253-278.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1090/mcom/3445
    • Vancouver

      Birgin EJG, Krejić N, Martínez JM. Iteration and evaluation complexity for the minimization of functions whose computation is intrinsically inexact [Internet]. Mathematics of Computation. 2020 ; 89 253-278.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1090/mcom/3445
  • Source: Computers & Operations Research. Unidades: IME, EP

    Subjects: ALGORITMOS DE SCHEDULING, HEURÍSTICA

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      LUNARDI, Willian Tessaro et al. Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem. Computers & Operations Research, v. 123, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2020.105020. Acesso em: 09 jul. 2024.
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      Lunardi, W. T., Birgin, E. J. G., Laborie, P., Ronconi, D. P., & Voos, H. (2020). Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem. Computers & Operations Research, 123, 1-20. doi:10.1016/j.cor.2020.105020
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      Lunardi WT, Birgin EJG, Laborie P, Ronconi DP, Voos H. Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem [Internet]. Computers & Operations Research. 2020 ; 123 1-20.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.cor.2020.105020
    • Vancouver

      Lunardi WT, Birgin EJG, Laborie P, Ronconi DP, Voos H. Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem [Internet]. Computers & Operations Research. 2020 ; 123 1-20.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.cor.2020.105020
  • 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: 09 jul. 2024.
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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 2024 jul. 09 ] 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 2024 jul. 09 ] Available from: https://doi.org/10.1007/s10589-019-00089-7
  • Source: European Journal of Operational Research. Unidade: IME

    Subjects: PROGRAMAÇÃO NÃO LINEAR, ALGORITMOS PARA PROCESSAMENTO

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      BIRGIN, Ernesto Julian Goldberg e LOBATO, Rafael Durbano. A matheuristic approach with nonlinear subproblems for large-scale packing of ellipsoids. European Journal of Operational Research, v. 272, n. 2, p. 447-464, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ejor.2018.07.006. Acesso em: 09 jul. 2024.
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      Birgin, E. J. G., & Lobato, R. D. (2019). A matheuristic approach with nonlinear subproblems for large-scale packing of ellipsoids. European Journal of Operational Research, 272( 2), 447-464. doi:10.1016/j.ejor.2018.07.006
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      Birgin EJG, Lobato RD. A matheuristic approach with nonlinear subproblems for large-scale packing of ellipsoids [Internet]. European Journal of Operational Research. 2019 ; 272( 2): 447-464.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.ejor.2018.07.006
    • Vancouver

      Birgin EJG, Lobato RD. A matheuristic approach with nonlinear subproblems for large-scale packing of ellipsoids [Internet]. European Journal of Operational Research. 2019 ; 272( 2): 447-464.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.ejor.2018.07.006
  • Source: Computational Optimization and Applications. Unidade: IME

    Assunto: PROGRAMAÇÃO NÃO LINEAR

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      BIRGIN, Ernesto Julian Goldberg e HAESER, Gabriel e RAMOS, Alberto. Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points. Computational Optimization and Applications, v. 69, n. 1, p. 51–75, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10589-017-9937-2. Acesso em: 09 jul. 2024.
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      Birgin, E. J. G., Haeser, G., & Ramos, A. (2018). Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points. Computational Optimization and Applications, 69( 1), 51–75. doi:10.1007/s10589-017-9937-2
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      Birgin EJG, Haeser G, Ramos A. Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points [Internet]. Computational Optimization and Applications. 2018 ; 69( 1): 51–75.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s10589-017-9937-2
    • Vancouver

      Birgin EJG, Haeser G, Ramos A. Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points [Internet]. Computational Optimization and Applications. 2018 ; 69( 1): 51–75.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s10589-017-9937-2
  • 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: 09 jul. 2024.
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      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 2024 jul. 09 ] 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 2024 jul. 09 ] Available from: https://doi.org/10.1137/17M1127107
  • Source: Mathematics of Computation. Unidade: IME

    Subjects: PROGRAMAÇÃO MATEMÁTICA, MÉTODOS NUMÉRICOS DE OTIMIZAÇÃO, PROGRAMAÇÃO NÃO LINEAR, PROGRAMAÇÃO ESTOCÁSTICA

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      BIRGIN, Ernesto Julian Goldberg e KREJIC, N e MARTÍNEZ, J. M. On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors. Mathematics of Computation, v. 87, n. 311, p. 1307-1326, 2018Tradução . . Disponível em: https://doi.org/10.1090/mcom/3246. Acesso em: 09 jul. 2024.
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      Birgin, E. J. G., Krejic, N., & Martínez, J. M. (2018). On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors. Mathematics of Computation, 87( 311), 1307-1326. doi:10.1090/mcom/3246
    • NLM

      Birgin EJG, Krejic N, Martínez JM. On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors [Internet]. Mathematics of Computation. 2018 ; 87( 311): 1307-1326.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1090/mcom/3246
    • Vancouver

      Birgin EJG, Krejic N, Martínez JM. On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors [Internet]. Mathematics of Computation. 2018 ; 87( 311): 1307-1326.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1090/mcom/3246
  • Source: SIAM Journal on Optimization. Unidade: IME

    Subjects: PESQUISA OPERACIONAL, PROGRAMAÇÃO MATEMÁTICA, CÁLCULO DE VARIAÇÕES, CONTROLE ÓTIMO, MÉTODOS NUMÉRICOS, PROGRAMAÇÃO NÃO LINEAR, ANÁLISE NUMÉRICA, CIÊNCIA DA COMPUTAÇÃO, TEORIA DA COMPUTAÇÃO, OTIMIZAÇÃO IRRESTRITA

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      BIRGIN, Ernesto Julian Goldberg e MARTINEZ, Jose Mario. The use of quadratic regularization with a cubic descent condition for unconstrained optimization. SIAM Journal on Optimization, v. 27, n. 2, p. 1049-1074, 2017Tradução . . Disponível em: https://doi.org/10.1137/16m110280x. Acesso em: 09 jul. 2024.
    • APA

      Birgin, E. J. G., & Martinez, J. M. (2017). The use of quadratic regularization with a cubic descent condition for unconstrained optimization. SIAM Journal on Optimization, 27( 2), 1049-1074. doi:10.1137/16m110280x
    • NLM

      Birgin EJG, Martinez JM. The use of quadratic regularization with a cubic descent condition for unconstrained optimization [Internet]. SIAM Journal on Optimization. 2017 ; 27( 2): 1049-1074.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1137/16m110280x
    • Vancouver

      Birgin EJG, Martinez JM. The use of quadratic regularization with a cubic descent condition for unconstrained optimization [Internet]. SIAM Journal on Optimization. 2017 ; 27( 2): 1049-1074.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1137/16m110280x
  • Source: Journal of Global Optimization. Unidade: IME

    Assunto: GEOMETRIA CONVEXA

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      BIRGIN, Ernesto Julian Goldberg e LOBATO, Rafael Durbano e MARTINEZ, J M. A nonlinear programming model with implicit variables for packing ellipsoids. Journal of Global Optimization, v. 68, n. 3, p. 467-499, 2017Tradução . . Disponível em: https://doi.org/10.1007/s10898-016-0483-8. Acesso em: 09 jul. 2024.
    • APA

      Birgin, E. J. G., Lobato, R. D., & Martinez, J. M. (2017). A nonlinear programming model with implicit variables for packing ellipsoids. Journal of Global Optimization, 68( 3), 467-499. doi:10.1007/s10898-016-0483-8
    • NLM

      Birgin EJG, Lobato RD, Martinez JM. A nonlinear programming model with implicit variables for packing ellipsoids [Internet]. Journal of Global Optimization. 2017 ; 68( 3): 467-499.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s10898-016-0483-8
    • Vancouver

      Birgin EJG, Lobato RD, Martinez JM. A nonlinear programming model with implicit variables for packing ellipsoids [Internet]. Journal of Global Optimization. 2017 ; 68( 3): 467-499.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s10898-016-0483-8
  • Source: Optimization Letters. Unidade: IME

    Subjects: FUNÇÕES DESCONTÍNUAS, OTIMIZAÇÃO MATEMÁTICA, PROGRAMAÇÃO NÃO LINEAR

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      BIRGIN, Ernesto Julian Goldberg e KREJIC, N e MARTINEZ, José Mario. On the minimization of possibly discontinuous functions by means of pointwise approximations. Optimization Letters, v. 11, n. 8, p. 1623-1637, 2017Tradução . . Disponível em: https://doi.org/10.1007/s11590-016-1068-7. Acesso em: 09 jul. 2024.
    • APA

      Birgin, E. J. G., Krejic, N., & Martinez, J. M. (2017). On the minimization of possibly discontinuous functions by means of pointwise approximations. Optimization Letters, 11( 8), 1623-1637. doi:10.1007/s11590-016-1068-7
    • NLM

      Birgin EJG, Krejic N, Martinez JM. On the minimization of possibly discontinuous functions by means of pointwise approximations [Internet]. Optimization Letters. 2017 ; 11( 8): 1623-1637.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11590-016-1068-7
    • Vancouver

      Birgin EJG, Krejic N, Martinez JM. On the minimization of possibly discontinuous functions by means of pointwise approximations [Internet]. Optimization Letters. 2017 ; 11( 8): 1623-1637.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11590-016-1068-7

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