Filtros : "PROGRAMAÇÃO MATEMÁTICA" "Indexado na Web of Science" Removido: "Borders, Bruce" Limpar

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  • Source: Mathematics of Computation. Unidade: IME

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

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    • ABNT

      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: 07 nov. 2025.
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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
    • NLM

      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 2025 nov. 07 ] 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 2025 nov. 07 ] Available from: https://doi.org/10.1090/mcom/3445
  • Source: Mathematical Programming. Unidade: IME

    Subjects: PROGRAMAÇÃO MATEMÁTICA, PROGRAMAÇÃO NÃO LINEAR

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    • ABNT

      HAESER, Gabriel e LIU, Hongcheng e YE, Yinyu. Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary. Mathematical Programming, v. 178, n. 1-2, p. 263-299, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10107-018-1290-4. Acesso em: 07 nov. 2025.
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      Haeser, G., Liu, H., & Ye, Y. (2019). Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary. Mathematical Programming, 178( 1-2), 263-299. doi:10.1007/s10107-018-1290-4
    • NLM

      Haeser G, Liu H, Ye Y. Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary [Internet]. Mathematical Programming. 2019 ; 178( 1-2): 263-299.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/s10107-018-1290-4
    • Vancouver

      Haeser G, Liu H, Ye Y. Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary [Internet]. Mathematical Programming. 2019 ; 178( 1-2): 263-299.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/s10107-018-1290-4
  • Source: Experimental Mathematics. Unidade: IME

    Subjects: PROGRAMAÇÃO MATEMÁTICA, MATEMÁTICA DISCRETA

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      CALUZA MACHADO, Fabrício e OLIVEIRA FILHO, Fernando Mário de. Improving the semidefinite programming bound for the kissing number by exploiting polynomial symmetry. Experimental Mathematics, v. 27, n. 3, p. 362-369, 2018Tradução . . Disponível em: https://doi.org/10.1080/10586458.2017.1286273. Acesso em: 07 nov. 2025.
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      Caluza Machado, F., & Oliveira Filho, F. M. de. (2018). Improving the semidefinite programming bound for the kissing number by exploiting polynomial symmetry. Experimental Mathematics, 27( 3), 362-369. doi:10.1080/10586458.2017.1286273
    • NLM

      Caluza Machado F, Oliveira Filho FM de. Improving the semidefinite programming bound for the kissing number by exploiting polynomial symmetry [Internet]. Experimental Mathematics. 2018 ; 27( 3): 362-369.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1080/10586458.2017.1286273
    • Vancouver

      Caluza Machado F, Oliveira Filho FM de. Improving the semidefinite programming bound for the kissing number by exploiting polynomial symmetry [Internet]. Experimental Mathematics. 2018 ; 27( 3): 362-369.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1080/10586458.2017.1286273
  • 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: 07 nov. 2025.
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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 2025 nov. 07 ] 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 2025 nov. 07 ] Available from: https://doi.org/10.1137/17M1127107
  • Source: Computational Optimization and Applications. Unidade: IME

    Subjects: PROGRAMAÇÃO MATEMÁTICA, PROGRAMAÇÃO NÃO LINEAR

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      HAESER, Gabriel. A second-order optimality condition with first- and second-order complementarity associated with global convergence of algorithms. Computational Optimization and Applications, v. 70, n. 2, p. 615–639, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10589-018-0005-3. Acesso em: 07 nov. 2025.
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      Haeser, G. (2018). A second-order optimality condition with first- and second-order complementarity associated with global convergence of algorithms. Computational Optimization and Applications, 70( 2), 615–639. doi:10.1007/s10589-018-0005-3
    • NLM

      Haeser G. A second-order optimality condition with first- and second-order complementarity associated with global convergence of algorithms [Internet]. Computational Optimization and Applications. 2018 ; 70( 2): 615–639.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/s10589-018-0005-3
    • Vancouver

      Haeser G. A second-order optimality condition with first- and second-order complementarity associated with global convergence of algorithms [Internet]. Computational Optimization and Applications. 2018 ; 70( 2): 615–639.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/s10589-018-0005-3
  • 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: 07 nov. 2025.
    • APA

      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 2025 nov. 07 ] 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 2025 nov. 07 ] Available from: https://doi.org/10.1090/mcom/3246
  • Source: Discrete Applied Mathematics. Conference titles: International Conference on Algorithms and Discrete Applied Mathematics - CALDAM 2015). Unidade: IME

    Subjects: ALGORITMOS GRÁFICOS, PROGRAMAÇÃO MATEMÁTICA

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      RAVELO, Santiago Valdés e FERREIRA, Carlos Eduardo. A PTAS for the metric case of the minimum sum-requirement communication spanning tree problem. Discrete Applied Mathematics. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.dam.2016.09.031. Acesso em: 07 nov. 2025. , 2017
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      Ravelo, S. V., & Ferreira, C. E. (2017). A PTAS for the metric case of the minimum sum-requirement communication spanning tree problem. Discrete Applied Mathematics. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.dam.2016.09.031
    • NLM

      Ravelo SV, Ferreira CE. A PTAS for the metric case of the minimum sum-requirement communication spanning tree problem [Internet]. Discrete Applied Mathematics. 2017 ; 228 158-175.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1016/j.dam.2016.09.031
    • Vancouver

      Ravelo SV, Ferreira CE. A PTAS for the metric case of the minimum sum-requirement communication spanning tree problem [Internet]. Discrete Applied Mathematics. 2017 ; 228 158-175.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1016/j.dam.2016.09.031

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