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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: 25 set. 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 set. 25 ] 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 set. 25 ] Available from: https://doi.org/10.1137/23M1582382
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: 25 set. 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 set. 25 ] 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 set. 25 ] Available from: https://doi.org/10.1007/s10898-022-01168-6
Artigo de periodico
A shape optimization approach to the problem of covering a two-dimensional region with minimum-radius identical balls (2021)
Birgin, Ernesto Julian Goldberg ; Laurain, Antoine ; Massambone, Rafael ; Santana, Arthur Gabriel
Source: SIAM Journal on Scientific Computing. Unidade: IME
Subjects: CÁLCULO DE VARIAÇÕES, PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg et al. A shape optimization approach to the problem of covering a two-dimensional region with minimum-radius identical balls. SIAM Journal on Scientific Computing, v. 43, n. 3, p. A2047-A2078, 2021Tradução . . Disponível em: https://doi.org/10.1137/20M135950X. Acesso em: 25 set. 2024.
APA
Birgin, E. J. G., Laurain, A., Massambone, R., & Santana, A. G. (2021). A shape optimization approach to the problem of covering a two-dimensional region with minimum-radius identical balls. SIAM Journal on Scientific Computing, 43( 3), A2047-A2078. doi:10.1137/20M135950X
NLM
Birgin EJG, Laurain A, Massambone R, Santana AG. A shape optimization approach to the problem of covering a two-dimensional region with minimum-radius identical balls [Internet]. SIAM Journal on Scientific Computing. 2021 ; 43( 3): A2047-A2078.[citado 2024 set. 25 ] Available from: https://doi.org/10.1137/20M135950X
Vancouver
Birgin EJG, Laurain A, Massambone R, Santana AG. A shape optimization approach to the problem of covering a two-dimensional region with minimum-radius identical balls [Internet]. SIAM Journal on Scientific Computing. 2021 ; 43( 3): A2047-A2078.[citado 2024 set. 25 ] Available from: https://doi.org/10.1137/20M135950X
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: 25 set. 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 set. 25 ] 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 set. 25 ] Available from: https://doi.org/10.1137/16m110280x
Artigo de periodico
A flexible inexact-restoration method for constrained optimization (2015)
Bueno, Luis Felipe; Haeser, Gabriel ; Martínez, José Mario
Source: Journal of Optimization Theory and Applications. Unidade: IME
Subjects: PROGRAMAÇÃO NÃO LINEAR, CÁLCULO DE VARIAÇÕES, PROGRAMAÇÃO MATEMÁTICA, ANÁLISE NUMÉRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUENO, Luis Felipe e HAESER, Gabriel e MARTÍNEZ, José Mario. A flexible inexact-restoration method for constrained optimization. Journal of Optimization Theory and Applications, v. 165, n. 1, p. 188-208, 2015Tradução . . Disponível em: https://doi.org/10.1007/s10957-014-0572-0. Acesso em: 25 set. 2024.
APA
Bueno, L. F., Haeser, G., & Martínez, J. M. (2015). A flexible inexact-restoration method for constrained optimization. Journal of Optimization Theory and Applications, 165( 1), 188-208. doi:10.1007/s10957-014-0572-0
NLM
Bueno LF, Haeser G, Martínez JM. A flexible inexact-restoration method for constrained optimization [Internet]. Journal of Optimization Theory and Applications. 2015 ; 165( 1): 188-208.[citado 2024 set. 25 ] Available from: https://doi.org/10.1007/s10957-014-0572-0
Vancouver
Bueno LF, Haeser G, Martínez JM. A flexible inexact-restoration method for constrained optimization [Internet]. Journal of Optimization Theory and Applications. 2015 ; 165( 1): 188-208.[citado 2024 set. 25 ] Available from: https://doi.org/10.1007/s10957-014-0572-0
Artigo de periodico
A relaxed constant positive linear dependence constraint qualification and applications (2011)
Andreani, Roberto; Haeser, Gabriel ; Schuverdt, María Laura ; Silva, Paulo J. S.
Source: Mathematical Programming. Unidade: IME
Subjects: PROGRAMAÇÃO NÃO LINEAR, CÁLCULO DE VARIAÇÕES, CONTROLE ÓTIMO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. A relaxed constant positive linear dependence constraint qualification and applications. Mathematical Programming, v. 135, n. 1-2, p. 255-273, 2011Tradução . . Disponível em: https://doi.org/10.1007/s10107-011-0456-0. Acesso em: 25 set. 2024.
APA
Andreani, R., Haeser, G., Schuverdt, M. L., & Silva, P. J. S. (2011). A relaxed constant positive linear dependence constraint qualification and applications. Mathematical Programming, 135( 1-2), 255-273. doi:10.1007/s10107-011-0456-0
NLM
Andreani R, Haeser G, Schuverdt ML, Silva PJS. A relaxed constant positive linear dependence constraint qualification and applications [Internet]. Mathematical Programming. 2011 ; 135( 1-2): 255-273.[citado 2024 set. 25 ] Available from: https://doi.org/10.1007/s10107-011-0456-0
Vancouver
Andreani R, Haeser G, Schuverdt ML, Silva PJS. A relaxed constant positive linear dependence constraint qualification and applications [Internet]. Mathematical Programming. 2011 ; 135( 1-2): 255-273.[citado 2024 set. 25 ] Available from: https://doi.org/10.1007/s10107-011-0456-0

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