Restricted optimization: a clue to a fast and accurate implementation of the common reflection surface stack method (1999)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- DOI: 10.1016/s0926-9851(99)00035-x
- Subjects: ALGORITMOS; OTIMIZAÇÃO MATEMÁTICA; SOLUÇÃO DE PROBLEMAS
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Applied Geophysics
- ISSN: 0926-9851
- Volume/Número/Paginação/Ano: v. 42, n. 3/4, p. 143-155, 1999
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BIRGIN, Ernesto Julian Goldberg et al. Restricted optimization: a clue to a fast and accurate implementation of the common reflection surface stack method. Journal of Applied Geophysics, v. 42, n. 3/4, p. 143-155, 1999Tradução . . Disponível em: https://doi.org/10.1016/s0926-9851(99)00035-x. Acesso em: 23 abr. 2024. -
APA
Birgin, E. J. G., Biloti, R., Tygel, M., & Santos, L. T. dos. (1999). Restricted optimization: a clue to a fast and accurate implementation of the common reflection surface stack method. Journal of Applied Geophysics, 42( 3/4), 143-155. doi:10.1016/s0926-9851(99)00035-x -
NLM
Birgin EJG, Biloti R, Tygel M, Santos LT dos. Restricted optimization: a clue to a fast and accurate implementation of the common reflection surface stack method [Internet]. Journal of Applied Geophysics. 1999 ; 42( 3/4): 143-155.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/s0926-9851(99)00035-x -
Vancouver
Birgin EJG, Biloti R, Tygel M, Santos LT dos. Restricted optimization: a clue to a fast and accurate implementation of the common reflection surface stack method [Internet]. Journal of Applied Geophysics. 1999 ; 42( 3/4): 143-155.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/s0926-9851(99)00035-x - 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: 10.1016/s0926-9851(99)00035-x (Fonte: oaDOI API)
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