A spectral conjugate gradient method for unconstrained optimization (2001)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- DOI: 10.1007/s00245-001-0003-0
- Subjects: PROGRAMAÇÃO MATEMÁTICA; PESQUISA OPERACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Applied Mathematics and Optimization
- ISSN: 1432-0606
- Volume/Número/Paginação/Ano: v. 43, n. 2, p. 117-128, 2001
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
BIRGIN, Ernesto Julian Goldberg e MARTINEZ, Jesus Manuel. A spectral conjugate gradient method for unconstrained optimization. Applied Mathematics and Optimization, v. 43, n. 2, p. 117-128, 2001Tradução . . Disponível em: https://doi.org/10.1007/s00245-001-0003-0. Acesso em: 23 abr. 2024. -
APA
Birgin, E. J. G., & Martinez, J. M. (2001). A spectral conjugate gradient method for unconstrained optimization. Applied Mathematics and Optimization, 43( 2), 117-128. doi:10.1007/s00245-001-0003-0 -
NLM
Birgin EJG, Martinez JM. A spectral conjugate gradient method for unconstrained optimization [Internet]. Applied Mathematics and Optimization. 2001 ; 43( 2): 117-128.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s00245-001-0003-0 -
Vancouver
Birgin EJG, Martinez JM. A spectral conjugate gradient method for unconstrained optimization [Internet]. Applied Mathematics and Optimization. 2001 ; 43( 2): 117-128.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s00245-001-0003-0 - 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/s00245-001-0003-0 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas