A first-order regularized algorithm with complexity properties for the unconstrained and the convexly constrained low order-value optimization problem (2025)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- DOI: 10.1007/s10898-025-01521-5
- Subjects: PROGRAMAÇÃO NÃO LINEAR; ANÁLISE NUMÉRICA; MÉTODOS NUMÉRICOS
- Keywords: Low order-value optimization; Regularized models; Convex constraints; Projected gradient; Complexity; Algorithms
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Global Optimization
- ISSN: 0925-5001
- Volume/Número/Paginação/Ano: v. 93, p. 241-261, 2025
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ÁLVAREZ, G. Q. e BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. A first-order regularized algorithm with complexity properties for the unconstrained and the convexly constrained low order-value optimization problem. Journal of Global Optimization, v. 93, p. 241-261, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10898-025-01521-5. Acesso em: 02 jan. 2026. -
APA
Álvarez, G. Q., Birgin, E. J. G., & Martínez, J. M. (2025). A first-order regularized algorithm with complexity properties for the unconstrained and the convexly constrained low order-value optimization problem. Journal of Global Optimization, 93, 241-261. doi:10.1007/s10898-025-01521-5 -
NLM
Álvarez GQ, Birgin EJG, Martínez JM. A first-order regularized algorithm with complexity properties for the unconstrained and the convexly constrained low order-value optimization problem [Internet]. Journal of Global Optimization. 2025 ; 93 241-261.[citado 2026 jan. 02 ] Available from: https://doi.org/10.1007/s10898-025-01521-5 -
Vancouver
Álvarez GQ, Birgin EJG, Martínez JM. A first-order regularized algorithm with complexity properties for the unconstrained and the convexly constrained low order-value optimization problem [Internet]. Journal of Global Optimization. 2025 ; 93 241-261.[citado 2026 jan. 02 ] Available from: https://doi.org/10.1007/s10898-025-01521-5 - 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: 10.1007/s10898-025-01521-5 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3258509.pdf | ||
 |
3258509_va_-_A_first-orde... |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
