Evaluation complexity for nonlinear constrained optimization using unscaled KKT conditions and high-order models (2016)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- DOI: 10.1137/15M1031631
- Subjects: PROGRAMAÇÃO NÃO LINEAR; MÉTODOS NUMÉRICOS DE OTIMIZAÇÃO; PROGRAMAÇÃO MATEMÁTICA; ANÁLISE DE ALGORITMOS
- Language: Inglês
- Imprenta:
- Publisher place: Philadelphia
- Date published: 2016
- Source:
- Título: SIAM Journal on Optimization
- ISSN: 1095-7189
- Volume/Número/Paginação/Ano: v. 26, n. 2, p. 951-967, 2016
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BIRGIN, Ernesto Julian Goldberg et al. Evaluation complexity for nonlinear constrained optimization using unscaled KKT conditions and high-order models. SIAM Journal on Optimization, v. 26, n. 2, p. 951-967, 2016Tradução . . Disponível em: https://doi.org/10.1137/15M1031631. Acesso em: 27 dez. 2025. -
APA
Birgin, E. J. G., Gardenghi, J. L. C., Martinez, J. M., Santos, S. A., & Toint, P. L. (2016). Evaluation complexity for nonlinear constrained optimization using unscaled KKT conditions and high-order models. SIAM Journal on Optimization, 26( 2), 951-967. doi:10.1137/15M1031631 -
NLM
Birgin EJG, Gardenghi JLC, Martinez JM, Santos SA, Toint PL. Evaluation complexity for nonlinear constrained optimization using unscaled KKT conditions and high-order models [Internet]. SIAM Journal on Optimization. 2016 ; 26( 2): 951-967.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1137/15M1031631 -
Vancouver
Birgin EJG, Gardenghi JLC, Martinez JM, Santos SA, Toint PL. Evaluation complexity for nonlinear constrained optimization using unscaled KKT conditions and high-order models [Internet]. SIAM Journal on Optimization. 2016 ; 26( 2): 951-967.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1137/15M1031631 - Augmented Lagrangian methods under the constant positive linear dependence constraint qualification
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Informações sobre o DOI: 10.1137/15M1031631 (Fonte: oaDOI API)
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