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Artigo de periodico
Safeguarded augmented Lagrangian algorithms with scaled stopping criterion for the subproblems (2025)
Birgin, Ernesto Julian Goldberg ; Haeser, Gabriel ; Martínez, José Mário
Source: Computational Optimization and Applications. Unidade: IME
Assunto: OTIMIZAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg e HAESER, Gabriel e MARTÍNEZ, José Mário. Safeguarded augmented Lagrangian algorithms with scaled stopping criterion for the subproblems. Computational Optimization and Applications, v. 91, p. 491-509, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10589-024-00572-w. Acesso em: 08 nov. 2025.
APA
Birgin, E. J. G., Haeser, G., & Martínez, J. M. (2025). Safeguarded augmented Lagrangian algorithms with scaled stopping criterion for the subproblems. Computational Optimization and Applications, 91, 491-509. doi:10.1007/s10589-024-00572-w
NLM
Birgin EJG, Haeser G, Martínez JM. Safeguarded augmented Lagrangian algorithms with scaled stopping criterion for the subproblems [Internet]. Computational Optimization and Applications. 2025 ; 91 491-509.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-024-00572-w
Vancouver
Birgin EJG, Haeser G, Martínez JM. Safeguarded augmented Lagrangian algorithms with scaled stopping criterion for the subproblems [Internet]. Computational Optimization and Applications. 2025 ; 91 491-509.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-024-00572-w
Artigo de periodico
Strong global convergence properties of algorithms for nonlinear symmetric cone programming (2025)
Andreani, Roberto ; Haeser, Gabriel ; Ramos, A.; Santos, D. O.; Secchin, Leornardo Delarmelina ; Serranoni, A.
Source: Computational Optimization and Applications. Unidade: IME
Subjects: ANÁLISE CONVEXA, ÁLGEBRAS DE JORDAN
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. Strong global convergence properties of algorithms for nonlinear symmetric cone programming. Computational Optimization and Applications, v. 91, p. 397-421, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10589-024-00642-z. Acesso em: 08 nov. 2025.
APA
Andreani, R., Haeser, G., Ramos, A., Santos, D. O., Secchin, L. D., & Serranoni, A. (2025). Strong global convergence properties of algorithms for nonlinear symmetric cone programming. Computational Optimization and Applications, 91, 397-421. doi:10.1007/s10589-024-00642-z
NLM
Andreani R, Haeser G, Ramos A, Santos DO, Secchin LD, Serranoni A. Strong global convergence properties of algorithms for nonlinear symmetric cone programming [Internet]. Computational Optimization and Applications. 2025 ;91 397-421.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-024-00642-z
Vancouver
Andreani R, Haeser G, Ramos A, Santos DO, Secchin LD, Serranoni A. Strong global convergence properties of algorithms for nonlinear symmetric cone programming [Internet]. Computational Optimization and Applications. 2025 ;91 397-421.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-024-00642-z
Artigo de periodico
Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients (2022)
Birgin, Ernesto Julian Goldberg ; Martínez, José Mário
Source: Computational Optimization and Applications. Unidade: IME
Subjects: INTERPOLAÇÃO, MÉTODOS ITERATIVOS, APROXIMAÇÃO POR MÍNIMOS QUADRADOS, MÉTODOS NUMÉRICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients. Computational Optimization and Applications, v. 81, p. 689–715, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10589-021-00344-w. Acesso em: 08 nov. 2025.
APA
Birgin, E. J. G., & Martínez, J. M. (2022). Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients. Computational Optimization and Applications, 81, 689–715. doi:10.1007/s10589-021-00344-w
NLM
Birgin EJG, Martínez JM. Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients [Internet]. Computational Optimization and Applications. 2022 ; 81 689–715.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-021-00344-w
Vancouver
Birgin EJG, Martínez JM. Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients [Internet]. Computational Optimization and Applications. 2022 ; 81 689–715.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-021-00344-w
Artigo de periodico
Block coordinate descent for smooth nonconvex constrained minimization (2022)
Birgin, Ernesto Julian Goldberg ; Martínez, José Mário
Source: Computational Optimization and Applications. Unidade: IME
Subjects: PROGRAMAÇÃO NÃO LINEAR, MÉTODOS NUMÉRICOS, PROGRAMAÇÃO MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. Block coordinate descent for smooth nonconvex constrained minimization. Computational Optimization and Applications, v. 83, p. 1-27, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10589-022-00389-5. Acesso em: 08 nov. 2025.
APA
Birgin, E. J. G., & Martínez, J. M. (2022). Block coordinate descent for smooth nonconvex constrained minimization. Computational Optimization and Applications, 83, 1-27. doi:10.1007/s10589-022-00389-5
NLM
Birgin EJG, Martínez JM. Block coordinate descent for smooth nonconvex constrained minimization [Internet]. Computational Optimization and Applications. 2022 ; 83 1-27.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-022-00389-5
Vancouver
Birgin EJG, Martínez JM. Block coordinate descent for smooth nonconvex constrained minimization [Internet]. Computational Optimization and Applications. 2022 ; 83 1-27.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-022-00389-5
Artigo de periodico
On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming (2021)
Andreani, Roberto ; Fukuda, Ellen Hidemi ; Haeser, Gabriel ; Santos, D. O.; Secchin, Leornardo Delarmelina
Source: Computational Optimization and Applications. Unidade: IME
Subjects: PROGRAMAÇÃO NÃO LINEAR, PROGRAMAÇÃO MATEMÁTICA, MÉTODOS NUMÉRICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming. Computational Optimization and Applications, v. 79, p. 633-648, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10589-021-00281-8. Acesso em: 08 nov. 2025.
APA
Andreani, R., Fukuda, E. H., Haeser, G., Santos, D. O., & Secchin, L. D. (2021). On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming. Computational Optimization and Applications, 79, 633-648. doi:10.1007/s10589-021-00281-8
NLM
Andreani R, Fukuda EH, Haeser G, Santos DO, Secchin LD. On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming [Internet]. Computational Optimization and Applications. 2021 ; 79 633-648.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-021-00281-8
Vancouver
Andreani R, Fukuda EH, Haeser G, Santos DO, Secchin LD. On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming [Internet]. Computational Optimization and Applications. 2021 ; 79 633-648.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-021-00281-8
Artigo de periodico
Benders, metric and cutset inequalities for multicommodity capacitated network design (2009)
Costa, Alysson Machado; Cordeau, Jean-François; Gendron, Bernard
Source: Computational Optimization and Applications. Unidade: ICMC
Subjects: OTIMIZAÇÃO COMBINATÓRIA, PESQUISA OPERACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Alysson Machado e CORDEAU, Jean-François e GENDRON, Bernard. Benders, metric and cutset inequalities for multicommodity capacitated network design. Computational Optimization and Applications, v. 42, n. 3, p. 371-392, 2009Tradução . . Disponível em: https://doi.org/10.1007/s10589-007-9122-0. Acesso em: 08 nov. 2025.
APA
Costa, A. M., Cordeau, J. -F., & Gendron, B. (2009). Benders, metric and cutset inequalities for multicommodity capacitated network design. Computational Optimization and Applications, 42( 3), 371-392. doi:10.1007/s10589-007-9122-0
NLM
Costa AM, Cordeau J-F, Gendron B. Benders, metric and cutset inequalities for multicommodity capacitated network design [Internet]. Computational Optimization and Applications. 2009 ; 42( 3): 371-392.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-007-9122-0
Vancouver
Costa AM, Cordeau J-F, Gendron B. Benders, metric and cutset inequalities for multicommodity capacitated network design [Internet]. Computational Optimization and Applications. 2009 ; 42( 3): 371-392.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-007-9122-0
Artigo de periodico
Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems (2005)
Birgin, Ernesto Julian Goldberg ; Castillo, Romulo A; Martinez, Jesus Manuel
Source: Computational Optimization and Applications. Unidade: IME
Assunto: PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg e CASTILLO, Romulo A e MARTINEZ, Jesus Manuel. Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems. Computational Optimization and Applications, v. 31, n. 1, p. 31-55, 2005Tradução . . Disponível em: https://doi.org/10.1007/s10589-005-1066-7. Acesso em: 08 nov. 2025.
APA
Birgin, E. J. G., Castillo, R. A., & Martinez, J. M. (2005). Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems. Computational Optimization and Applications, 31( 1), 31-55. doi:10.1007/s10589-005-1066-7
NLM
Birgin EJG, Castillo RA, Martinez JM. Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems [Internet]. Computational Optimization and Applications. 2005 ; 31( 1): 31-55.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-005-1066-7
Vancouver
Birgin EJG, Castillo RA, Martinez JM. Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems [Internet]. Computational Optimization and Applications. 2005 ; 31( 1): 31-55.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-005-1066-7
Artigo de periodico
Large-scale active-set box-constrained optimization method with spectral projected gradients (2002)
Birgin, Ernesto Julian Goldberg ; Martínez, José Mário
Source: Computational Optimization and Applications. Unidade: IME
Assunto: MÉTODOS NUMÉRICOS DE OTIMIZAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg e MARTÍNEZ, José Mário. Large-scale active-set box-constrained optimization method with spectral projected gradients. Computational Optimization and Applications, v. 23, n. 1, p. 101-125, 2002Tradução . . Disponível em: https://doi.org/10.1023/A:1019928808826. Acesso em: 08 nov. 2025.
APA
Birgin, E. J. G., & Martínez, J. M. (2002). Large-scale active-set box-constrained optimization method with spectral projected gradients. Computational Optimization and Applications, 23( 1), 101-125. doi:10.1023/A:1019928808826
NLM
Birgin EJG, Martínez JM. Large-scale active-set box-constrained optimization method with spectral projected gradients [Internet]. Computational Optimization and Applications. 2002 ; 23( 1): 101-125.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1023/A:1019928808826
Vancouver
Birgin EJG, Martínez JM. Large-scale active-set box-constrained optimization method with spectral projected gradients [Internet]. Computational Optimization and Applications. 2002 ; 23( 1): 101-125.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1023/A:1019928808826

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