On regularization and active-set methods with complexity for constrained optimization (2018)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- DOI: 10.1137/17M1127107
- Subjects: PROGRAMAÇÃO NÃO LINEAR; PROGRAMAÇÃO MATEMÁTICA; COMPUTABILIDADE E COMPLEXIDADE; ANÁLISE DE ALGORITMOS
- Keywords: bound-constrained minimization; active-set strategies; regularization; complexity
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Philadelphia
- Date published: 2018
- Source:
- Título: SIAM Journal on Optimization
- ISSN: 1052-6234
- Volume/Número/Paginação/Ano: v. 28, n. 2, p.1367-1395, 2018
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BIRGIN, Ernesto Julian Goldberg e MARTINEZ, J M. On regularization and active-set methods with complexity for constrained optimization. SIAM Journal on Optimization, v. 28, n. 2, p. 1367-1395, 2018Tradução . . Disponível em: https://doi.org/10.1137/17M1127107. Acesso em: 02 dez. 2025. -
APA
Birgin, E. J. G., & Martinez, J. M. (2018). On regularization and active-set methods with complexity for constrained optimization. SIAM Journal on Optimization, 28( 2), 1367-1395. doi:10.1137/17M1127107 -
NLM
Birgin EJG, Martinez JM. On regularization and active-set methods with complexity for constrained optimization [Internet]. SIAM Journal on Optimization. 2018 ; 28( 2): 1367-1395.[citado 2025 dez. 02 ] Available from: https://doi.org/10.1137/17M1127107 -
Vancouver
Birgin EJG, Martinez JM. On regularization and active-set methods with complexity for constrained optimization [Internet]. SIAM Journal on Optimization. 2018 ; 28( 2): 1367-1395.[citado 2025 dez. 02 ] Available from: https://doi.org/10.1137/17M1127107 - 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: 10.1137/17M1127107 (Fonte: oaDOI API)
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