On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors (2018)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- DOI: 10.1090/mcom/3246
- Subjects: PROGRAMAÇÃO MATEMÁTICA; MÉTODOS NUMÉRICOS DE OTIMIZAÇÃO; PROGRAMAÇÃO NÃO LINEAR; PROGRAMAÇÃO ESTOCÁSTICA
- Keywords: inexact restoration; global convergence; numerical experiments
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Providence
- Date published: 2018
- Source:
- Título do periódico: Mathematics of Computation
- ISSN: 0025-5718
- Volume/Número/Paginação/Ano: v. 87, n. 311, p. 1307-1326, 2018
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
-
ABNT
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: 24 abr. 2024. -
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 2024 abr. 24 ] 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 2024 abr. 24 ] Available from: https://doi.org/10.1090/mcom/3246 - Special issue on nonlinear programming dedicated to the ALIO-INFORMS Joint International Meeting 2010. [Prefácio]
- Low order-value approach for solving VaR-constrained optimization problems
- Large-scale active-set box-constrained optimization method with spectral projected gradients
- A box-constrained optimization algorithm with negative curvature directions and spectral projected gradients
- Spectral projected gradient methods: review and perspectives
- Augmented Lagrangians with possible infeasibility and finite termination for global nonlinear programming
- Foreword special issue dedicated to selected surveys in nonlinear programming. [Apresentação]
- Assessing the reliability of general-purpose Inexact Restoration methods
- Packing circles within ellipses
- Sparse Projected-Gradient Method As a Linear-Scaling Low-Memory Alternative to Diagonalization in Self-Consistent Field Electronic Structure Calculations
Informações sobre o DOI: 10.1090/mcom/3246 (Fonte: oaDOI API)
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