Filtros : "PROGRAMAÇÃO CONVEXA" "HAESER, GABRIEL" Limpar

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  • Source: Set-Valued and Varational Analysis. Unidade: IME

    Subjects: PROGRAMAÇÃO NÃO LINEAR, PROGRAMAÇÃO CONVEXA

    Versão AceitaAcesso à fonteAcesso à fonteDOIHow to cite
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    • ABNT

      ANDREANI, Roberto et al. Erratum to New constraint qualifications and optimality conditions for second order cone programs. Set-Valued and Varational Analysis, v. 30, n. 1, p. 329-333, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11228-018-0487-2. Acesso em: 08 nov. 2025.
    • APA

      Andreani, R., Fukuda, E. H., Haeser, G., Ramírez, H., Santos, D. O., Silva, P. J. S., & Silveira, T. P. da. (2022). Erratum to New constraint qualifications and optimality conditions for second order cone programs. Set-Valued and Varational Analysis, 30( 1), 329-333. doi:10.1007/s11228-018-0487-2
    • NLM

      Andreani R, Fukuda EH, Haeser G, Ramírez H, Santos DO, Silva PJS, Silveira TP da. Erratum to New constraint qualifications and optimality conditions for second order cone programs [Internet]. Set-Valued and Varational Analysis. 2022 ; 30( 1): 329-333.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s11228-018-0487-2
    • Vancouver

      Andreani R, Fukuda EH, Haeser G, Ramírez H, Santos DO, Silva PJS, Silveira TP da. Erratum to New constraint qualifications and optimality conditions for second order cone programs [Internet]. Set-Valued and Varational Analysis. 2022 ; 30( 1): 329-333.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s11228-018-0487-2
  • Source: Mathematical Programming. Unidade: IME

    Subjects: PROGRAMAÇÃO MATEMÁTICA, PROGRAMAÇÃO CONVEXA, PROGRAMAÇÃO NÃO LINEAR

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    • ABNT

      HAESER, Gabriel e HINDER, Oliver e YE, Yinyu. On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods. Mathematical Programming, v. 186, n. 1-2, p. 257-288, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10107-019-01454-4. Acesso em: 08 nov. 2025.
    • APA

      Haeser, G., Hinder, O., & Ye, Y. (2021). On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods. Mathematical Programming, 186( 1-2), 257-288. doi:10.1007/s10107-019-01454-4
    • NLM

      Haeser G, Hinder O, Ye Y. On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods [Internet]. Mathematical Programming. 2021 ; 186( 1-2): 257-288.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10107-019-01454-4
    • Vancouver

      Haeser G, Hinder O, Ye Y. On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods [Internet]. Mathematical Programming. 2021 ; 186( 1-2): 257-288.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10107-019-01454-4
  • Source: Journal of Optimization Theory and Applications. Unidade: IME

    Subjects: MÉTODOS DE PONTOS INTERIORES, PROGRAMAÇÃO QUADRÁTICA, PROGRAMAÇÃO CONVEXA

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    • ABNT

      BEHLING, Roger e GONZAGA, Clovis Caesar e HAESER, Gabriel. Primal-dual relationship between Levenberg–Marquardt and central trajectories for linearly constrained convex optimization. Journal of Optimization Theory and Applications, v. 162, n. 3, p. 705-717, 2014Tradução . . Disponível em: https://doi.org/10.1007/s10957-013-0492-4. Acesso em: 08 nov. 2025.
    • APA

      Behling, R., Gonzaga, C. C., & Haeser, G. (2014). Primal-dual relationship between Levenberg–Marquardt and central trajectories for linearly constrained convex optimization. Journal of Optimization Theory and Applications, 162( 3), 705-717. doi:10.1007/s10957-013-0492-4
    • NLM

      Behling R, Gonzaga CC, Haeser G. Primal-dual relationship between Levenberg–Marquardt and central trajectories for linearly constrained convex optimization [Internet]. Journal of Optimization Theory and Applications. 2014 ; 162( 3): 705-717.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10957-013-0492-4
    • Vancouver

      Behling R, Gonzaga CC, Haeser G. Primal-dual relationship between Levenberg–Marquardt and central trajectories for linearly constrained convex optimization [Internet]. Journal of Optimization Theory and Applications. 2014 ; 162( 3): 705-717.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10957-013-0492-4

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