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Artigo de periodico
The boundedness of penalty parameters in an augmented Lagrangian method with constrained subproblems (2012)
Birgin, Ernesto Julian Goldberg ; Fernandez, Damian; Martinez, J. M
Source: Optimization Methods & Software. 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 FERNANDEZ, Damian e MARTINEZ, J. M. The boundedness of penalty parameters in an augmented Lagrangian method with constrained subproblems. Optimization Methods & Software, v. 27, n. 6, p. 1001-1024, 2012Tradução . . Disponível em: https://doi.org/10.1080/10556788.2011.556634. Acesso em: 05 ago. 2024.
APA
Birgin, E. J. G., Fernandez, D., & Martinez, J. M. (2012). The boundedness of penalty parameters in an augmented Lagrangian method with constrained subproblems. Optimization Methods & Software, 27( 6), 1001-1024. doi:10.1080/10556788.2011.556634
NLM
Birgin EJG, Fernandez D, Martinez JM. The boundedness of penalty parameters in an augmented Lagrangian method with constrained subproblems [Internet]. Optimization Methods & Software. 2012 ; 27( 6): 1001-1024.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1080/10556788.2011.556634
Vancouver
Birgin EJG, Fernandez D, Martinez JM. The boundedness of penalty parameters in an augmented Lagrangian method with constrained subproblems [Internet]. Optimization Methods & Software. 2012 ; 27( 6): 1001-1024.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1080/10556788.2011.556634
Artigo de periodico
Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization (2012)
Birgin, Ernesto Julian Goldberg ; Martinez, J. M
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 MARTINEZ, J. M. Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization. Computational Optimization and Applications, v. 51, n. 3, p. 941-965, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10589-011-9396-0. Acesso em: 05 ago. 2024.
APA
Birgin, E. J. G., & Martinez, J. M. (2012). Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization. Computational Optimization and Applications, 51( 3), 941-965. doi:10.1007/s10589-011-9396-0
NLM
Birgin EJG, Martinez JM. Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization [Internet]. Computational Optimization and Applications. 2012 ; 51( 3): 941-965.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s10589-011-9396-0
Vancouver
Birgin EJG, Martinez JM. Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization [Internet]. Computational Optimization and Applications. 2012 ; 51( 3): 941-965.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s10589-011-9396-0
Artigo de periodico-apres/intr
Special issue on nonlinear programming dedicated to the ALIO-INFORMS Joint International Meeting 2010. [Prefácio] (2011)
Birgin, Ernesto Julian Goldberg
Source: Computational & Applied Mathematics. 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. Special issue on nonlinear programming dedicated to the ALIO-INFORMS Joint International Meeting 2010. [Prefácio]. Computational & Applied Mathematics. Heidelberg: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1590/S1807-03022011000100001. Acesso em: 05 ago. 2024. , 2011
APA
Birgin, E. J. G. (2011). Special issue on nonlinear programming dedicated to the ALIO-INFORMS Joint International Meeting 2010. [Prefácio]. Computational & Applied Mathematics. Heidelberg: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1590/S1807-03022011000100001
NLM
Birgin EJG. Special issue on nonlinear programming dedicated to the ALIO-INFORMS Joint International Meeting 2010. [Prefácio] [Internet]. Computational & Applied Mathematics. 2011 ; 30. n. 1 1-3.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1590/S1807-03022011000100001
Vancouver
Birgin EJG. Special issue on nonlinear programming dedicated to the ALIO-INFORMS Joint International Meeting 2010. [Prefácio] [Internet]. Computational & Applied Mathematics. 2011 ; 30. n. 1 1-3.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1590/S1807-03022011000100001
Artigo de periodico
Second-order negative-curvature methods for box-constrained and general constrained optimization (2010)
Andreani, R.; Birgin, Ernesto Julian Goldberg ; Martinez, J. M.; Schuverdt, M. L.
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
ANDREANI, R. et al. Second-order negative-curvature methods for box-constrained and general constrained optimization. Computational Optimization and Applications, v. 45, n. 2, p. 209-236, 2010Tradução . . Disponível em: https://doi.org/10.1007/s10589-009-9240-y. Acesso em: 05 ago. 2024.
APA
Andreani, R., Birgin, E. J. G., Martinez, J. M., & Schuverdt, M. L. (2010). Second-order negative-curvature methods for box-constrained and general constrained optimization. Computational Optimization and Applications, 45( 2), 209-236. doi:10.1007/s10589-009-9240-y
NLM
Andreani R, Birgin EJG, Martinez JM, Schuverdt ML. Second-order negative-curvature methods for box-constrained and general constrained optimization [Internet]. Computational Optimization and Applications. 2010 ; 45( 2): 209-236.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s10589-009-9240-y
Vancouver
Andreani R, Birgin EJG, Martinez JM, Schuverdt ML. Second-order negative-curvature methods for box-constrained and general constrained optimization [Internet]. Computational Optimization and Applications. 2010 ; 45( 2): 209-236.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s10589-009-9240-y
Artigo de periodico
Exact penalties for variational inequalities with applications to nonlinear complementary problems (2010)
André, Thiago Afonso de; Silva, Paulo J. S.
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
ANDRÉ, Thiago Afonso de e SILVA, Paulo J. S. Exact penalties for variational inequalities with applications to nonlinear complementary problems. Computational Optimization and Applications, v. 47, n. 3, p. 401-429, 2010Tradução . . Disponível em: https://doi.org/10.1007/s10589-008-9232-3. Acesso em: 05 ago. 2024.
APA
André, T. A. de, & Silva, P. J. S. (2010). Exact penalties for variational inequalities with applications to nonlinear complementary problems. Computational Optimization and Applications, 47( 3), 401-429. doi:10.1007/s10589-008-9232-3
NLM
André TA de, Silva PJS. Exact penalties for variational inequalities with applications to nonlinear complementary problems [Internet]. Computational Optimization and Applications. 2010 ; 47( 3): 401-429.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s10589-008-9232-3
Vancouver
André TA de, Silva PJS. Exact penalties for variational inequalities with applications to nonlinear complementary problems [Internet]. Computational Optimization and Applications. 2010 ; 47( 3): 401-429.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s10589-008-9232-3
Artigo de periodico
Using sentinels to detect intersections of convex and nonconvex polygons (2010)
Mascarenhas, Walter Figueiredo ; Birgin, Ernesto Julian Goldberg
Source: Computational and Applied Mathematics. Unidade: IME
Assunto: PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MASCARENHAS, Walter Figueiredo e BIRGIN, Ernesto Julian Goldberg. Using sentinels to detect intersections of convex and nonconvex polygons. Computational and Applied Mathematics, v. 29, n. 2, p. 247-267, 2010Tradução . . Disponível em: https://doi.org/10.1590/S1807-03022010000200008. Acesso em: 05 ago. 2024.
APA
Mascarenhas, W. F., & Birgin, E. J. G. (2010). Using sentinels to detect intersections of convex and nonconvex polygons. Computational and Applied Mathematics, 29( 2), 247-267. doi:10.1590/S1807-03022010000200008
NLM
Mascarenhas WF, Birgin EJG. Using sentinels to detect intersections of convex and nonconvex polygons [Internet]. Computational and Applied Mathematics. 2010 ; 29( 2): 247-267.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1590/S1807-03022010000200008
Vancouver
Mascarenhas WF, Birgin EJG. Using sentinels to detect intersections of convex and nonconvex polygons [Internet]. Computational and Applied Mathematics. 2010 ; 29( 2): 247-267.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1590/S1807-03022010000200008
Artigo de periodico
Structured minimal-memory inexact quasi-Newton method and secant preconditioners for augmented Lagrangian optimization (2008)
Birgin, Ernesto Julian Goldberg ; Martínez, José Mário
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 MARTÍNEZ, José Mário. Structured minimal-memory inexact quasi-Newton method and secant preconditioners for augmented Lagrangian optimization. Computational Optimization and Applications, v. 39, n. 1, p. 1-16, 2008Tradução . . Disponível em: https://doi.org/10.1007/s10589-007-9050-z. Acesso em: 05 ago. 2024.
APA
Birgin, E. J. G., & Martínez, J. M. (2008). Structured minimal-memory inexact quasi-Newton method and secant preconditioners for augmented Lagrangian optimization. Computational Optimization and Applications, 39( 1), 1-16. doi:10.1007/s10589-007-9050-z
NLM
Birgin EJG, Martínez JM. Structured minimal-memory inexact quasi-Newton method and secant preconditioners for augmented Lagrangian optimization [Internet]. Computational Optimization and Applications. 2008 ; 39( 1): 1-16.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s10589-007-9050-z
Vancouver
Birgin EJG, Martínez JM. Structured minimal-memory inexact quasi-Newton method and secant preconditioners for augmented Lagrangian optimization [Internet]. Computational Optimization and Applications. 2008 ; 39( 1): 1-16.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s10589-007-9050-z
Artigo de periodico
Improving ultimate convergence of an augmented Lagrangian method (2008)
Birgin, Ernesto Julian Goldberg ; Martínez, José Mário
Source: Optimization Methods and Software. 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 MARTÍNEZ, José Mário. Improving ultimate convergence of an augmented Lagrangian method. Optimization Methods and Software, v. 23, n. 2, p. 177-195, 2008Tradução . . Disponível em: https://doi.org/10.1080/10556780701577730. Acesso em: 05 ago. 2024.
APA
Birgin, E. J. G., & Martínez, J. M. (2008). Improving ultimate convergence of an augmented Lagrangian method. Optimization Methods and Software, 23( 2), 177-195. doi:10.1080/10556780701577730
NLM
Birgin EJG, Martínez JM. Improving ultimate convergence of an augmented Lagrangian method [Internet]. Optimization Methods and Software. 2008 ; 23( 2): 177-195.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1080/10556780701577730
Vancouver
Birgin EJG, Martínez JM. Improving ultimate convergence of an augmented Lagrangian method [Internet]. Optimization Methods and Software. 2008 ; 23( 2): 177-195.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1080/10556780701577730
Artigo de periodico
Augmented Lagrangian methods under the constant positive linear dependence constraint qualification (2008)
Andreani, Roberto; Birgin, Ernesto Julian Goldberg ; Martínez, José Mário ; Schuverdt, M. L.
Source: Mathematical Programming. Unidade: IME
Assunto: PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. Augmented Lagrangian methods under the constant positive linear dependence constraint qualification. Mathematical Programming, v. 111, n. 1-2, p. 5-32, 2008Tradução . . Disponível em: https://doi.org/10.1007/s10107-006-0077-1. Acesso em: 05 ago. 2024.
APA
Andreani, R., Birgin, E. J. G., Martínez, J. M., & Schuverdt, M. L. (2008). Augmented Lagrangian methods under the constant positive linear dependence constraint qualification. Mathematical Programming, 111( 1-2), 5-32. doi:10.1007/s10107-006-0077-1
NLM
Andreani R, Birgin EJG, Martínez JM, Schuverdt ML. Augmented Lagrangian methods under the constant positive linear dependence constraint qualification [Internet]. Mathematical Programming. 2008 ; 111( 1-2): 5-32.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s10107-006-0077-1
Vancouver
Andreani R, Birgin EJG, Martínez JM, Schuverdt ML. Augmented Lagrangian methods under the constant positive linear dependence constraint qualification [Internet]. Mathematical Programming. 2008 ; 111( 1-2): 5-32.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s10107-006-0077-1

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