Complexity and performance of an Augmented Lagrangian algorithm (2020)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- DOI: 10.1080/10556788.2020.1746962
- Subjects: PROGRAMAÇÃO NÃO LINEAR; PROGRAMAÇÃO MATEMÁTICA; ANÁLISE DE ALGORITMOS
- Keywords: Nonlinear programming; Augmented Lagrangian methods; complexity; numerical experiments
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Optimization Methods and Software
- ISSN: 1055-6788
- Volume/Número/Paginação/Ano: v. 35, n. 5, p. 885-920, 2020
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. Complexity and performance of an Augmented Lagrangian algorithm. Optimization Methods and Software, v. 35, n. 5, p. 885-920, 2020Tradução . . Disponível em: https://doi.org/10.1080/10556788.2020.1746962. Acesso em: 14 nov. 2024. -
APA
Birgin, E. J. G., & Martínez, J. M. (2020). Complexity and performance of an Augmented Lagrangian algorithm. Optimization Methods and Software, 35( 5), 885-920. doi:10.1080/10556788.2020.1746962 -
NLM
Birgin EJG, Martínez JM. Complexity and performance of an Augmented Lagrangian algorithm [Internet]. Optimization Methods and Software. 2020 ; 35( 5): 885-920.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/10556788.2020.1746962 -
Vancouver
Birgin EJG, Martínez JM. Complexity and performance of an Augmented Lagrangian algorithm [Internet]. Optimization Methods and Software. 2020 ; 35( 5): 885-920.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/10556788.2020.1746962 - Special issue on nonlinear programming dedicated to the ALIO-INFORMS Joint International Meeting 2010. [Prefácio]
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- 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
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- 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: 10.1080/10556788.2020.1746962 (Fonte: oaDOI API)
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