Secant acceleration of sequential residual methods for solving large-scale nonlinear systems of equations (2022)
- Authors:
- Autor USP: BIRGIN, ERNESTO JULIAN GOLDBERG - IME
- Unidade: IME
- DOI: 10.1137/20M1388024
- Subjects: ANÁLISE NUMÉRICA; PESQUISA OPERACIONAL
- Keywords: nonlinear systems of equations; sequential residual methods; acceleration; large-scale problems
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Philadelphia
- Date published: 2022
- Source:
- Título do periódico: SIAM Journal on Numerical Analysis
- ISSN: 0036-1429
- Volume/Número/Paginação/Ano: v. 60, n. 6, p. 3145-3180, 2022
- 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 MARTÍNEZ, José Mário. Secant acceleration of sequential residual methods for solving large-scale nonlinear systems of equations. SIAM Journal on Numerical Analysis, v. 60, n. 6, p. 3145-3180, 2022Tradução . . Disponível em: https://doi.org/10.1137/20M1388024. Acesso em: 11 jun. 2024. -
APA
Birgin, E. J. G., & Martínez, J. M. (2022). Secant acceleration of sequential residual methods for solving large-scale nonlinear systems of equations. SIAM Journal on Numerical Analysis, 60( 6), 3145-3180. doi:10.1137/20M1388024 -
NLM
Birgin EJG, Martínez JM. Secant acceleration of sequential residual methods for solving large-scale nonlinear systems of equations [Internet]. SIAM Journal on Numerical Analysis. 2022 ; 60( 6): 3145-3180.[citado 2024 jun. 11 ] Available from: https://doi.org/10.1137/20M1388024 -
Vancouver
Birgin EJG, Martínez JM. Secant acceleration of sequential residual methods for solving large-scale nonlinear systems of equations [Internet]. SIAM Journal on Numerical Analysis. 2022 ; 60( 6): 3145-3180.[citado 2024 jun. 11 ] Available from: https://doi.org/10.1137/20M1388024 - 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: 10.1137/20M1388024 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas