Filtros : "Martínez, José Mário" Removidos: "2008" "Financiamento CNPq" Limpar

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  • Source: Abstracts. Conference titles: Conference on Optimization - OP23. Unidade: IME

    Subjects: PROGRAMAÇÃO NÃO LINEAR, MÉTODOS NUMÉRICOS, PROGRAMAÇÃO MATEMÁTICA

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      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. Block coordinate descent for smooth nonconvex constrained minimization. 2023, Anais.. Philadelphia: SIAM, 2023. Disponível em: https://www.siam.org/Portals/0/Conferences/OP/OP23_ABSTRACTS.pdf. Acesso em: 03 out. 2024.
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      Birgin, E. J. G., & Martínez, J. M. (2023). Block coordinate descent for smooth nonconvex constrained minimization. In Abstracts. Philadelphia: SIAM. Recuperado de https://www.siam.org/Portals/0/Conferences/OP/OP23_ABSTRACTS.pdf
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      Birgin EJG, Martínez JM. Block coordinate descent for smooth nonconvex constrained minimization [Internet]. Abstracts. 2023 ;[citado 2024 out. 03 ] Available from: https://www.siam.org/Portals/0/Conferences/OP/OP23_ABSTRACTS.pdf
    • Vancouver

      Birgin EJG, Martínez JM. Block coordinate descent for smooth nonconvex constrained minimization [Internet]. Abstracts. 2023 ;[citado 2024 out. 03 ] Available from: https://www.siam.org/Portals/0/Conferences/OP/OP23_ABSTRACTS.pdf
  • 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: 03 out. 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 out. 03 ] 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 out. 03 ] 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: 03 out. 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 out. 03 ] 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 out. 03 ] 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: 03 out. 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 out. 03 ] 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 out. 03 ] Available from: https://doi.org/10.1007/s11075-020-00928-3
  • 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: 03 out. 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 out. 03 ] 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 out. 03 ] Available from: https://doi.org/10.1007/s11590-019-01395-z
  • 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: 03 out. 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 out. 03 ] 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 out. 03 ] 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: 03 out. 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 out. 03 ] 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 out. 03 ] Available from: https://doi.org/10.1090/mcom/3445
  • Source: Conference book. Conference titles: International Conference on Continuous Optimization - ICCOPT. Unidade: IME

    Subjects: OTIMIZAÇÃO MATEMÁTICA, PROGRAMAÇÃO MATEMÁTICA

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      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. A Newton-like method with mixed factorizations and cubic regularization and its usage in an Augmented Lagrangian framework. 2019, Anais.. Berlin: Weierstrass Institute for Applied Analysis and Stochastics (WIAS), 2019. Disponível em: https://www.iccopt2019.berlin/downloads/ICCOPT2019_Conference_Book.pdf. Acesso em: 03 out. 2024.
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      Birgin, E. J. G., & Martínez, J. M. (2019). A Newton-like method with mixed factorizations and cubic regularization and its usage in an Augmented Lagrangian framework. In Conference book. Berlin: Weierstrass Institute for Applied Analysis and Stochastics (WIAS). Recuperado de https://www.iccopt2019.berlin/downloads/ICCOPT2019_Conference_Book.pdf
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      Birgin EJG, Martínez JM. A Newton-like method with mixed factorizations and cubic regularization and its usage in an Augmented Lagrangian framework [Internet]. Conference book. 2019 ;[citado 2024 out. 03 ] Available from: https://www.iccopt2019.berlin/downloads/ICCOPT2019_Conference_Book.pdf
    • Vancouver

      Birgin EJG, Martínez JM. A Newton-like method with mixed factorizations and cubic regularization and its usage in an Augmented Lagrangian framework [Internet]. Conference book. 2019 ;[citado 2024 out. 03 ] Available from: https://www.iccopt2019.berlin/downloads/ICCOPT2019_Conference_Book.pdf
  • Source: Program & abstracts book. Conference titles: International Congress on Industrial and Applied Mathematics - ICIAM. Unidade: IME

    Subjects: OTIMIZAÇÃO MATEMÁTICA, PROGRAMAÇÃO MATEMÁTICA

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      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization. 2019, Anais.. Madrid: Sociedad Española de Matemática Aplicada (SeMA), 2019. Disponível em: https://iciam2019.org/images/site/news/ICIAM2019_PROGRAM_ABSTRACTS_BOOK.pdf. Acesso em: 03 out. 2024.
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      Birgin, E. J. G., & Martínez, J. M. (2019). A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization. In Program & abstracts book. Madrid: Sociedad Española de Matemática Aplicada (SeMA). Recuperado de https://iciam2019.org/images/site/news/ICIAM2019_PROGRAM_ABSTRACTS_BOOK.pdf
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      Birgin EJG, Martínez JM. A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization [Internet]. Program & abstracts book. 2019 ;[citado 2024 out. 03 ] Available from: https://iciam2019.org/images/site/news/ICIAM2019_PROGRAM_ABSTRACTS_BOOK.pdf
    • Vancouver

      Birgin EJG, Martínez JM. A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization [Internet]. Program & abstracts book. 2019 ;[citado 2024 out. 03 ] Available from: https://iciam2019.org/images/site/news/ICIAM2019_PROGRAM_ABSTRACTS_BOOK.pdf
  • Source: Pré-Anais. Conference titles: Simpósio Brasileiro de Pesquisa Operacional - SBPO. Unidade: IME

    Subjects: OTIMIZAÇÃO RESTRITA, PROGRAMAÇÃO NÃO LINEAR

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      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário e PRUDENTE, Leandro da Fonseca. Global nonlinear programming with possible infeasibility and finite termination. 2012, Anais.. Rio de Janeiro: SOBRAPO, 2012. Disponível em: http://www.din.uem.br/sbpo/sbpo2012/pdf/arq0108.pdf. Acesso em: 03 out. 2024.
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      Birgin, E. J. G., Martínez, J. M., & Prudente, L. da F. (2012). Global nonlinear programming with possible infeasibility and finite termination. In Pré-Anais. Rio de Janeiro: SOBRAPO. Recuperado de http://www.din.uem.br/sbpo/sbpo2012/pdf/arq0108.pdf
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      Birgin EJG, Martínez JM, Prudente L da F. Global nonlinear programming with possible infeasibility and finite termination [Internet]. Pré-Anais. 2012 ;[citado 2024 out. 03 ] Available from: http://www.din.uem.br/sbpo/sbpo2012/pdf/arq0108.pdf
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      Birgin EJG, Martínez JM, Prudente L da F. Global nonlinear programming with possible infeasibility and finite termination [Internet]. Pré-Anais. 2012 ;[citado 2024 out. 03 ] Available from: http://www.din.uem.br/sbpo/sbpo2012/pdf/arq0108.pdf
  • Source: IMA Journal of Numerical Analysis. Unidade: IME

    Assunto: PROGRAMAÇÃO MATEMÁTICA

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      ANDREANI, Roberto et al. Spectral projected gradient and variable metric methods for optimization with linear inequalities. IMA Journal of Numerical Analysis, v. 25, n. 2, p. 221-252, 2005Tradução . . Disponível em: https://doi.org/10.1093/imanum/drh020. Acesso em: 03 out. 2024.
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      Andreani, R., Birgin, E. J. G., Martínez, J. M., & Yuan, J. Y. (2005). Spectral projected gradient and variable metric methods for optimization with linear inequalities. IMA Journal of Numerical Analysis, 25( 2), 221-252. doi:10.1093/imanum/drh020
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      Andreani R, Birgin EJG, Martínez JM, Yuan JY. Spectral projected gradient and variable metric methods for optimization with linear inequalities [Internet]. IMA Journal of Numerical Analysis. 2005 ; 25( 2): 221-252.[citado 2024 out. 03 ] Available from: https://doi.org/10.1093/imanum/drh020
    • Vancouver

      Andreani R, Birgin EJG, Martínez JM, Yuan JY. Spectral projected gradient and variable metric methods for optimization with linear inequalities [Internet]. IMA Journal of Numerical Analysis. 2005 ; 25( 2): 221-252.[citado 2024 out. 03 ] Available from: https://doi.org/10.1093/imanum/drh020
  • Source: Computational Optimization and Applications. Unidade: IME

    Assunto: MÉTODOS NUMÉRICOS DE OTIMIZAÇÃO

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      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. Large-scale active-set box-constrained optimization method with spectral projected gradients. Computational Optimization and Applications, v. 23, n. 1, p. 101-125, 2002Tradução . . Disponível em: https://doi.org/10.1023/A:1019928808826. Acesso em: 03 out. 2024.
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      Birgin, E. J. G., & Martínez, J. M. (2002). Large-scale active-set box-constrained optimization method with spectral projected gradients. Computational Optimization and Applications, 23( 1), 101-125. doi:10.1023/A:1019928808826
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      Birgin EJG, Martínez JM. Large-scale active-set box-constrained optimization method with spectral projected gradients [Internet]. Computational Optimization and Applications. 2002 ; 23( 1): 101-125.[citado 2024 out. 03 ] Available from: https://doi.org/10.1023/A:1019928808826
    • Vancouver

      Birgin EJG, Martínez JM. Large-scale active-set box-constrained optimization method with spectral projected gradients [Internet]. Computational Optimization and Applications. 2002 ; 23( 1): 101-125.[citado 2024 out. 03 ] Available from: https://doi.org/10.1023/A:1019928808826
  • Source: Topics in numerical analysis : with special emphasis on nonlinear problems. Unidade: IME

    Assunto: PROGRAMAÇÃO MATEMÁTICA

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      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. A box-constrained optimization algorithm with negative curvature directions and spectral projected gradients. Topics in numerical analysis : with special emphasis on nonlinear problems. Tradução . Vienna: Springer, 2001. . Disponível em: https://doi.org/10.1007/978-3-7091-6217-0_5. Acesso em: 03 out. 2024.
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      Birgin, E. J. G., & Martínez, J. M. (2001). A box-constrained optimization algorithm with negative curvature directions and spectral projected gradients. In Topics in numerical analysis : with special emphasis on nonlinear problems. Vienna: Springer. doi:10.1007/978-3-7091-6217-0_5
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      Birgin EJG, Martínez JM. A box-constrained optimization algorithm with negative curvature directions and spectral projected gradients [Internet]. In: Topics in numerical analysis : with special emphasis on nonlinear problems. Vienna: Springer; 2001. [citado 2024 out. 03 ] Available from: https://doi.org/10.1007/978-3-7091-6217-0_5
    • Vancouver

      Birgin EJG, Martínez JM. A box-constrained optimization algorithm with negative curvature directions and spectral projected gradients [Internet]. In: Topics in numerical analysis : with special emphasis on nonlinear problems. Vienna: Springer; 2001. [citado 2024 out. 03 ] Available from: https://doi.org/10.1007/978-3-7091-6217-0_5
  • Source: ACM Transactions on Mathematical Software. Unidade: IME

    Assunto: ALGORITMOS

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      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário e RAYDAN, Marcos. Algorithm 813: SPG - software for convex-constrained optimization. ACM Transactions on Mathematical Software, v. 27, n. 3, p. 340-349, 2001Tradução . . Disponível em: https://doi.org/10.1145/502800.502803. Acesso em: 03 out. 2024.
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      Birgin, E. J. G., Martínez, J. M., & Raydan, M. (2001). Algorithm 813: SPG - software for convex-constrained optimization. ACM Transactions on Mathematical Software, 27( 3), 340-349. doi:10.1145/502800.502803
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      Birgin EJG, Martínez JM, Raydan M. Algorithm 813: SPG - software for convex-constrained optimization [Internet]. ACM Transactions on Mathematical Software. 2001 ; 27( 3): 340-349.[citado 2024 out. 03 ] Available from: https://doi.org/10.1145/502800.502803
    • Vancouver

      Birgin EJG, Martínez JM, Raydan M. Algorithm 813: SPG - software for convex-constrained optimization [Internet]. ACM Transactions on Mathematical Software. 2001 ; 27( 3): 340-349.[citado 2024 out. 03 ] Available from: https://doi.org/10.1145/502800.502803
  • Source: Siam Journal on Optimization. Unidade: IME

    Subjects: ESTRUTURAS, ALGORITMOS

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      BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário e RAYDAN, M. Nonmonotone spectral projected gradient methods on convex sets. Siam Journal on Optimization, v. 10, n. 4, p. 1196-1211, 2000Tradução . . Disponível em: https://doi.org/10.1137/S1052623497330963. Acesso em: 03 out. 2024.
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      Birgin, E. J. G., Martínez, J. M., & Raydan, M. (2000). Nonmonotone spectral projected gradient methods on convex sets. Siam Journal on Optimization, 10( 4), 1196-1211. doi:10.1137/S1052623497330963
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      Birgin EJG, Martínez JM, Raydan M. Nonmonotone spectral projected gradient methods on convex sets [Internet]. Siam Journal on Optimization. 2000 ; 10( 4): 1196-1211.[citado 2024 out. 03 ] Available from: https://doi.org/10.1137/S1052623497330963
    • Vancouver

      Birgin EJG, Martínez JM, Raydan M. Nonmonotone spectral projected gradient methods on convex sets [Internet]. Siam Journal on Optimization. 2000 ; 10( 4): 1196-1211.[citado 2024 out. 03 ] Available from: https://doi.org/10.1137/S1052623497330963

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