Filtros : "Martínez, José Mário" Removidos: "2008" "Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)" 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.
    • APA

      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
    • NLM

      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: Journal of Global Optimization. Unidade: IME

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

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      AMARAL, V. S. et al. On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization. Journal of Global Optimization, v. 84, p. 527-561, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10898-022-01168-6. Acesso em: 03 out. 2024.
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      Amaral, V. S., Andreani, R., Birgin, E. J. G., Marcondes, D. M. S. V., & Martínez, J. M. (2022). On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization. Journal of Global Optimization, 84, 527-561. doi:10.1007/s10898-022-01168-6
    • NLM

      Amaral VS, Andreani R, Birgin EJG, Marcondes DMSV, Martínez JM. On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization [Internet]. Journal of Global Optimization. 2022 ; 84 527-561.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s10898-022-01168-6
    • Vancouver

      Amaral VS, Andreani R, Birgin EJG, Marcondes DMSV, Martínez JM. On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization [Internet]. Journal of Global Optimization. 2022 ; 84 527-561.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s10898-022-01168-6
  • Source: Computational Optimization and Applications. 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. Computational Optimization and Applications, v. 83, p. 1-27, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10589-022-00389-5. Acesso em: 03 out. 2024.
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      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
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      Birgin EJG, Martínez JM. Block coordinate descent for smooth nonconvex constrained minimization [Internet]. Computational Optimization and Applications. 2022 ; 83 1-27.[citado 2024 out. 03 ] 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 2024 out. 03 ] Available from: https://doi.org/10.1007/s10589-022-00389-5
  • Source: Journal of Computational and Applied Mathematics. Unidade: IME

    Subjects: ANÁLISE NUMÉRICA, PROGRAMAÇÃO NÃO LINEAR, PESQUISA OPERACIONAL

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      BIRGIN, Ernesto Julian Goldberg e KREJIĆ, Nataša e MARTÍNEZ, José Mário. Inexact restoration for derivative-free expensive function minimization and applications. Journal of Computational and Applied Mathematics, v. 410, n. artigo 114193, p. 1-15, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cam.2022.114193. Acesso em: 03 out. 2024.
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      Birgin, E. J. G., Krejić, N., & Martínez, J. M. (2022). Inexact restoration for derivative-free expensive function minimization and applications. Journal of Computational and Applied Mathematics, 410( artigo 114193), 1-15. doi:10.1016/j.cam.2022.114193
    • NLM

      Birgin EJG, Krejić N, Martínez JM. Inexact restoration for derivative-free expensive function minimization and applications [Internet]. Journal of Computational and Applied Mathematics. 2022 ; 410( artigo 114193): 1-15.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.cam.2022.114193
    • Vancouver

      Birgin EJG, Krejić N, Martínez JM. Inexact restoration for derivative-free expensive function minimization and applications [Internet]. Journal of Computational and Applied Mathematics. 2022 ; 410( artigo 114193): 1-15.[citado 2024 out. 03 ] Available from: https://doi.org/10.1016/j.cam.2022.114193
  • 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
    • NLM

      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
    • NLM

      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
    • NLM

      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
    • Vancouver

      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: 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
    • NLM

      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

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