Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. [Editorial] (2020)
- Autor:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- DOI: 10.1007/s10589-020-00203-0
- Assunto: OTIMIZAÇÃO MATEMÁTICA
- Language: Inglês
- Imprenta:
- Source:
- Título: Computational Optimization and Applications
- ISSN: 0926-6003
- Volume/Número/Paginação/Ano: v. 76, n. 3, p. 615-619, 2020
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BIRGIN, Ernesto Julian Goldberg. Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. [Editorial]. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s10589-020-00203-0. Acesso em: 21 jan. 2026. , 2020 -
APA
Birgin, E. J. G. (2020). Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. [Editorial]. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/s10589-020-00203-0 -
NLM
Birgin EJG. Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. [Editorial] [Internet]. Computational Optimization and Applications. 2020 ; 76( 3): 615-619.[citado 2026 jan. 21 ] Available from: https://doi.org/10.1007/s10589-020-00203-0 -
Vancouver
Birgin EJG. Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. [Editorial] [Internet]. Computational Optimization and Applications. 2020 ; 76( 3): 615-619.[citado 2026 jan. 21 ] Available from: https://doi.org/10.1007/s10589-020-00203-0 - Evaluating bound-constrained minimization software
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- On regularization and active-set methods with complexity for constrained optimization
- Second-order negative-curvature methods for box-constrained and general constrained optimization
- Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization
Informações sobre o DOI: 10.1007/s10589-020-00203-0 (Fonte: oaDOI API)
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