Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems (2005)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- DOI: 10.1007/s10589-005-1066-7
- Assunto: PROGRAMAÇÃO NÃO LINEAR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Computational Optimization and Applications
- ISSN: 0926-6003
- Volume/Número/Paginação/Ano: v. 31, n. 1, p. 31-55, 2005
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BIRGIN, Ernesto Julian Goldberg e CASTILLO, Romulo A e MARTINEZ, Jesus Manuel. Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems. Computational Optimization and Applications, v. 31, n. 1, p. 31-55, 2005Tradução . . Disponível em: https://doi.org/10.1007/s10589-005-1066-7. Acesso em: 03 out. 2024. -
APA
Birgin, E. J. G., Castillo, R. A., & Martinez, J. M. (2005). Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems. Computational Optimization and Applications, 31( 1), 31-55. doi:10.1007/s10589-005-1066-7 -
NLM
Birgin EJG, Castillo RA, Martinez JM. Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems [Internet]. Computational Optimization and Applications. 2005 ; 31( 1): 31-55.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s10589-005-1066-7 -
Vancouver
Birgin EJG, Castillo RA, Martinez JM. Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems [Internet]. Computational Optimization and Applications. 2005 ; 31( 1): 31-55.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s10589-005-1066-7 - 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: 10.1007/s10589-005-1066-7 (Fonte: oaDOI API)
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