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Artigo de periodico

A fast gradient and function sampling method for finite-max functions (2018)

  • Authors:
  • USP affiliated authors: HELOU NETO, ELIAS SALOMÃO - ICMC
  • Unidades: ICMC
  • DOI: 10.1007/s10589-018-0030-2
  • Subjects: FUNÇÕES ESPECIAIS; APROXIMAÇÃO; MÉTODOS NUMÉRICOS DE OTIMIZAÇÃO; MÉTODOS ITERATIVOS; OTIMIZAÇÃO MATEMÁTICA; OTIMIZAÇÃO GLOBAL; OTIMIZAÇÃO IRRESTRITA; OTIMIZAÇÃO CONVEXA; OTIMIZAÇÃO ESTOCÁSTICA
  • Keywords: Nonsmooth nonconvex optimization; Gradient sampling; Local superlinear convergence; Global convergence; Unconstrained minimization
  • Agências de fomento:
  • Language: Inglês
  • Imprenta:
  • Source:
    • Online source accessDOI
    Informações sobre o DOI: 10.1007/s10589-018-0030-2 (Fonte: oaDOI API)
    • Este periódico é de assinatura
    • Este artigo é de acesso aberto
    • URL de acesso aberto
    • Cor do Acesso Aberto: green
    How to cite
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    • ABNT

      HELOU NETO, Elias Salomão; SANTOS, Sandra A.; SIMÕES, Lucas E. A. A fast gradient and function sampling method for finite-max functions. Computational Optimization and Applications, Berlin, Heidelberg, Springer Nature, v. 71, n. 3, p. 673-717, 2018. Disponível em: < http://dx.doi.org/10.1007/s10589-018-0030-2 > DOI: 10.1007/s10589-018-0030-2.

    • APA

      Helou Neto, E. S., Santos, S. A., & Simões, L. E. A. (2018). A fast gradient and function sampling method for finite-max functions. Computational Optimization and Applications, 71( 3), 673-717. doi:10.1007/s10589-018-0030-2

    • NLM

      Helou Neto ES, Santos SA, Simões LEA. A fast gradient and function sampling method for finite-max functions [Internet]. Computational Optimization and Applications. 2018 ; 71( 3): 673-717.Available from: http://dx.doi.org/10.1007/s10589-018-0030-2

    • Vancouver

      Helou Neto ES, Santos SA, Simões LEA. A fast gradient and function sampling method for finite-max functions [Internet]. Computational Optimization and Applications. 2018 ; 71( 3): 673-717.Available from: http://dx.doi.org/10.1007/s10589-018-0030-2

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