Filtros : "PROGRAMAÇÃO MATEMÁTICA" "2025" Removido: "Financiamento CNPq" Limpar

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  • Source: Book of abstracts of the EURO 2025. Conference titles: European Conference on Operational Research - EURO. Unidade: IME

    Subjects: PROGRAMAÇÃO MATEMÁTICA, ALGORITMOS, MÉTODOS TOPOLÓGICOS

    How to cite
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    • ABNT

      BUENO, Luís Felipe et al. A new SLP algorithm applied to topology optimization. 2025, Anais.. Leeds: Instituto de Matemática e Estatística, Universidade de São Paulo, 2025. . Acesso em: 07 nov. 2025.
    • APA

      Bueno, L. F., Birgin, E. J. G., Moreno, D., Santos, T. M., Santos, T., & Senne, T. (2025). A new SLP algorithm applied to topology optimization. In Book of abstracts of the EURO 2025. Leeds: Instituto de Matemática e Estatística, Universidade de São Paulo.
    • NLM

      Bueno LF, Birgin EJG, Moreno D, Santos TM, Santos T, Senne T. A new SLP algorithm applied to topology optimization. Book of abstracts of the EURO 2025. 2025 ;[citado 2025 nov. 07 ]
    • Vancouver

      Bueno LF, Birgin EJG, Moreno D, Santos TM, Santos T, Senne T. A new SLP algorithm applied to topology optimization. Book of abstracts of the EURO 2025. 2025 ;[citado 2025 nov. 07 ]
  • Source: Optimization. Unidade: IME

    Assunto: PROGRAMAÇÃO MATEMÁTICA

    Disponível em 2026-08-19Acesso à fonteDOIHow to cite
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    • ABNT

      ARMIJO, Nicolas Esteban Fuentealba e BELLO-CRUZ, Yunier e HAESER, Gabriel. A semi-smooth Newton method for general projection equations applied to the nearest correlation matrix problem. Optimization, 2025Tradução . . Disponível em: https://doi.org/10.1080/02331934.2025.2547716. Acesso em: 07 nov. 2025.
    • APA

      Armijo, N. E. F., Bello-Cruz, Y., & Haeser, G. (2025). A semi-smooth Newton method for general projection equations applied to the nearest correlation matrix problem. Optimization. doi:10.1080/02331934.2025.2547716
    • NLM

      Armijo NEF, Bello-Cruz Y, Haeser G. A semi-smooth Newton method for general projection equations applied to the nearest correlation matrix problem [Internet]. Optimization. 2025 ;[citado 2025 nov. 07 ] Available from: https://doi.org/10.1080/02331934.2025.2547716
    • Vancouver

      Armijo NEF, Bello-Cruz Y, Haeser G. A semi-smooth Newton method for general projection equations applied to the nearest correlation matrix problem [Internet]. Optimization. 2025 ;[citado 2025 nov. 07 ] Available from: https://doi.org/10.1080/02331934.2025.2547716
  • Source: Methodology and Computing in Applied Probability. Unidade: IME

    Subjects: PESQUISA OPERACIONAL, PROGRAMAÇÃO MATEMÁTICA, MARTINGAL

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      BUENO, Vanderlei da Costa e BALAKRISHNAN, Narayanaswamy. A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications. Methodology and Computing in Applied Probability, v. 27, n. artigo 27, p. 1-25, 2025Tradução . . Disponível em: https://doi.org/10.1007/s11009-025-10153-x. Acesso em: 07 nov. 2025.
    • APA

      Bueno, V. da C., & Balakrishnan, N. (2025). A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications. Methodology and Computing in Applied Probability, 27( artigo 27), 1-25. doi:10.1007/s11009-025-10153-x
    • NLM

      Bueno V da C, Balakrishnan N. A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications [Internet]. Methodology and Computing in Applied Probability. 2025 ; 27( artigo 27): 1-25.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/s11009-025-10153-x
    • Vancouver

      Bueno V da C, Balakrishnan N. A conditioned Kullback-Leibler divergence measure through compensator processes and its relationship to cumulative residual inaccuracy measure with applications [Internet]. Methodology and Computing in Applied Probability. 2025 ; 27( artigo 27): 1-25.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/s11009-025-10153-x

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