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Artigo de periodico
Constraint qualifications and strong global Convergence properties of an augmented lagrangian method on riemannian manifolds (2024)
Andreani, Roberto ; Couto, Kelvin R. ; Ferreira, Orizon Pereira ; Haeser, Gabriel
Source: SIAM Journal on Optimization. Unidade: IME
Subjects: CÁLCULO DE VARIAÇÕES, CONTROLE ÓTIMO, ANÁLISE NUMÉRICA, PESQUISA OPERACIONAL, PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. Constraint qualifications and strong global Convergence properties of an augmented lagrangian method on riemannian manifolds. SIAM Journal on Optimization, v. 34, n. 2, p. 1799-1825, 2024Tradução . . Disponível em: https://doi.org/10.1137/23M1582382. Acesso em: 02 nov. 2024.
APA
Andreani, R., Couto, K. R., Ferreira, O. P., & Haeser, G. (2024). Constraint qualifications and strong global Convergence properties of an augmented lagrangian method on riemannian manifolds. SIAM Journal on Optimization, 34( 2), 1799-1825. doi:10.1137/23M1582382
NLM
Andreani R, Couto KR, Ferreira OP, Haeser G. Constraint qualifications and strong global Convergence properties of an augmented lagrangian method on riemannian manifolds [Internet]. SIAM Journal on Optimization. 2024 ; 34( 2): 1799-1825.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1137/23M1582382
Vancouver
Andreani R, Couto KR, Ferreira OP, Haeser G. Constraint qualifications and strong global Convergence properties of an augmented lagrangian method on riemannian manifolds [Internet]. SIAM Journal on Optimization. 2024 ; 34( 2): 1799-1825.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1137/23M1582382
Artigo de periodico
Secant acceleration of sequential residual methods for solving large-scale nonlinear systems of equations (2022)
Birgin, Ernesto Julian Goldberg ; Martínez, José Mário
Source: SIAM Journal on Numerical Analysis. Unidade: IME
Subjects: ANÁLISE NUMÉRICA, PESQUISA OPERACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 02 nov. 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 nov. 02 ] 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 nov. 02 ] Available from: https://doi.org/10.1137/20M1388024
Artigo de periodico
On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization (2022)
Amaral, V. S.; Andreani, Roberto ; Birgin, Ernesto Julian Goldberg ; Marcondes, Diaulas Murize Santana Vieira ; Martínez, José Mário
Source: Journal of Global Optimization. Unidade: IME
Subjects: PROGRAMAÇÃO NÃO LINEAR, CÁLCULO DE VARIAÇÕES, CONTROLE ÓTIMO, MÉTODOS NUMÉRICOS, ANÁLISE NUMÉRICA, PESQUISA OPERACIONAL, CIÊNCIA DA COMPUTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMARAL, V. S. et al. On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization. Journal of Global Optimization, v. 84, p. 527-561, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10898-022-01168-6. Acesso em: 02 nov. 2024.
APA
Amaral, V. S., Andreani, R., Birgin, E. J. G., Marcondes, D. M. S. V., & Martínez, J. M. (2022). On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization. Journal of Global Optimization, 84, 527-561. doi:10.1007/s10898-022-01168-6
NLM
Amaral VS, Andreani R, Birgin EJG, Marcondes DMSV, Martínez JM. On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization [Internet]. Journal of Global Optimization. 2022 ; 84 527-561.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/s10898-022-01168-6
Vancouver
Amaral VS, Andreani R, Birgin EJG, Marcondes DMSV, Martínez JM. On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization [Internet]. Journal of Global Optimization. 2022 ; 84 527-561.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/s10898-022-01168-6
Artigo de periodico
Inexact restoration for derivative-free expensive function minimization and applications (2022)
Birgin, Ernesto Julian Goldberg ; Krejić, Nataša ; Martínez, José Mário
Source: Journal of Computational and Applied Mathematics. Unidade: IME
Subjects: ANÁLISE NUMÉRICA, PROGRAMAÇÃO NÃO LINEAR, PESQUISA OPERACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg e KREJIĆ, Nataša e MARTÍNEZ, José Mário. Inexact restoration for derivative-free expensive function minimization and applications. Journal of Computational and Applied Mathematics, v. 410, n. artigo 114193, p. 1-15, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cam.2022.114193. Acesso em: 02 nov. 2024.
APA
Birgin, E. J. G., Krejić, N., & Martínez, J. M. (2022). Inexact restoration for derivative-free expensive function minimization and applications. Journal of Computational and Applied Mathematics, 410( artigo 114193), 1-15. doi:10.1016/j.cam.2022.114193
NLM
Birgin EJG, Krejić N, Martínez JM. Inexact restoration for derivative-free expensive function minimization and applications [Internet]. Journal of Computational and Applied Mathematics. 2022 ; 410( artigo 114193): 1-15.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1016/j.cam.2022.114193
Vancouver
Birgin EJG, Krejić N, Martínez JM. Inexact restoration for derivative-free expensive function minimization and applications [Internet]. Journal of Computational and Applied Mathematics. 2022 ; 410( artigo 114193): 1-15.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1016/j.cam.2022.114193
Artigo de periodico
The use of quadratic regularization with a cubic descent condition for unconstrained optimization (2017)
Birgin, Ernesto Julian Goldberg ; Martinez, Jose Mario
Source: SIAM Journal on Optimization. Unidade: IME
Subjects: PESQUISA OPERACIONAL, PROGRAMAÇÃO MATEMÁTICA, CÁLCULO DE VARIAÇÕES, CONTROLE ÓTIMO, MÉTODOS NUMÉRICOS, PROGRAMAÇÃO NÃO LINEAR, ANÁLISE NUMÉRICA, CIÊNCIA DA COMPUTAÇÃO, TEORIA DA COMPUTAÇÃO, OTIMIZAÇÃO IRRESTRITA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg e MARTINEZ, Jose Mario. The use of quadratic regularization with a cubic descent condition for unconstrained optimization. SIAM Journal on Optimization, v. 27, n. 2, p. 1049-1074, 2017Tradução . . Disponível em: https://doi.org/10.1137/16m110280x. Acesso em: 02 nov. 2024.
APA
Birgin, E. J. G., & Martinez, J. M. (2017). The use of quadratic regularization with a cubic descent condition for unconstrained optimization. SIAM Journal on Optimization, 27( 2), 1049-1074. doi:10.1137/16m110280x
NLM
Birgin EJG, Martinez JM. The use of quadratic regularization with a cubic descent condition for unconstrained optimization [Internet]. SIAM Journal on Optimization. 2017 ; 27( 2): 1049-1074.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1137/16m110280x
Vancouver
Birgin EJG, Martinez JM. The use of quadratic regularization with a cubic descent condition for unconstrained optimization [Internet]. SIAM Journal on Optimization. 2017 ; 27( 2): 1049-1074.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1137/16m110280x

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