Second-order negative-curvature methods for box-constrained and general constrained optimization (2010)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- DOI: 10.1007/s10589-009-9240-y
- Assunto: PROGRAMAÇÃO NÃO LINEAR
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Computational Optimization and Applications
- ISSN: 0926-6003
- Volume/Número/Paginação/Ano: v. 45, n. 2, p. 209-236, 2010
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
ANDREANI, R.; BIRGIN, Ernesto Julian Goldberg; MARTINEZ, J. M.; SCHUVERDT, M. L. Second-order negative-curvature methods for box-constrained and general constrained optimization. Computational Optimization and Applications, New York, v. 45, n. 2, p. 209-236, 2010. Disponível em: < https://doi.org/10.1007/s10589-009-9240-y > DOI: 10.1007/s10589-009-9240-y. -
APA
Andreani, R., Birgin, E. J. G., Martinez, J. M., & Schuverdt, M. L. (2010). Second-order negative-curvature methods for box-constrained and general constrained optimization. Computational Optimization and Applications, 45( 2), 209-236. doi:10.1007/s10589-009-9240-y -
NLM
Andreani R, Birgin EJG, Martinez JM, Schuverdt ML. Second-order negative-curvature methods for box-constrained and general constrained optimization [Internet]. Computational Optimization and Applications. 2010 ; 45( 2): 209-236.Available from: https://doi.org/10.1007/s10589-009-9240-y -
Vancouver
Andreani R, Birgin EJG, Martinez JM, Schuverdt ML. Second-order negative-curvature methods for box-constrained and general constrained optimization [Internet]. Computational Optimization and Applications. 2010 ; 45( 2): 209-236.Available from: https://doi.org/10.1007/s10589-009-9240-y - A box-constrained optimization algorithm with negative curvature directions and spectral projected gradients
- Large-scale active-set box-constrained optimization method with spectral projected gradients
- Assessing the reliability of general-purpose Inexact Restoration methods
- Spectral projected gradient methods: review and perspectives
- On acceleration schemes and the choice of subproblem’s constraints in augmented Lagrangian methods
- Low order-value approach for solving VaR-constrained optimization problems
- Foreword special issue dedicated to selected surveys in nonlinear programming. [Apresentação]
- Augmented Lagrangians with possible infeasibility and finite termination for global nonlinear programming
- Constrained optimization with integer and continuous variables using inexact restoration and projected gradients
- Preface: Special issue on nonlinear programming dedicated to the ALIO-INFORMS Joint International Meeting 2010
Informações sobre o DOI: 10.1007/s10589-009-9240-y (Fonte: oaDOI API)
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