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Artigo de periodico
Block coordinate descent for smooth nonconvex constrained minimization (2022)
Birgin, Ernesto Julian Goldberg ; Martínez, José Mário
Fonte: Computational Optimization and Applications. Unidade: IME
Assuntos: PROGRAMAÇÃO NÃO LINEAR, MÉTODOS NUMÉRICOS, PROGRAMAÇÃO MATEMÁTICA
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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
Fonte: Computational Optimization and Applications. Unidade: IME
Assuntos: 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
Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points (2018)
Birgin, Ernesto Julian Goldberg ; Haeser, Gabriel ; Ramos, Alberto
Fonte: 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 HAESER, Gabriel e RAMOS, Alberto. Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points. Computational Optimization and Applications, v. 69, n. 1, p. 51–75, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10589-017-9937-2. Acesso em: 08 nov. 2025.
APA
Birgin, E. J. G., Haeser, G., & Ramos, A. (2018). Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points. Computational Optimization and Applications, 69( 1), 51–75. doi:10.1007/s10589-017-9937-2
NLM
Birgin EJG, Haeser G, Ramos A. Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points [Internet]. Computational Optimization and Applications. 2018 ; 69( 1): 51–75.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-017-9937-2
Vancouver
Birgin EJG, Haeser G, Ramos A. Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points [Internet]. Computational Optimization and Applications. 2018 ; 69( 1): 51–75.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-017-9937-2
Artigo de periodico
A second-order optimality condition with first- and second-order complementarity associated with global convergence of algorithms (2018)
Haeser, Gabriel
Fonte: Computational Optimization and Applications. Unidade: IME
Assuntos: PROGRAMAÇÃO MATEMÁTICA, PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HAESER, Gabriel. A second-order optimality condition with first- and second-order complementarity associated with global convergence of algorithms. Computational Optimization and Applications, v. 70, n. 2, p. 615–639, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10589-018-0005-3. Acesso em: 08 nov. 2025.
APA
Haeser, G. (2018). A second-order optimality condition with first- and second-order complementarity associated with global convergence of algorithms. Computational Optimization and Applications, 70( 2), 615–639. doi:10.1007/s10589-018-0005-3
NLM
Haeser G. A second-order optimality condition with first- and second-order complementarity associated with global convergence of algorithms [Internet]. Computational Optimization and Applications. 2018 ; 70( 2): 615–639.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-018-0005-3
Vancouver
Haeser G. A second-order optimality condition with first- and second-order complementarity associated with global convergence of algorithms [Internet]. Computational Optimization and Applications. 2018 ; 70( 2): 615–639.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-018-0005-3
Artigo de periodico
Sequential equality-constrained optimization for nonlinear programming (2016)
Birgin, Ernesto Julian Goldberg ; Bueno, L. F; Martinez, José Mario
Fonte: Computational Optimization and Applications. Unidade: IME
Assuntos: PROGRAMAÇÃO NÃO LINEAR, OTIMIZAÇÃO MATEMÁTICA, PESQUISA OPERACIONAL, PROGRAMAÇÃO MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg e BUENO, L. F e MARTINEZ, José Mario. Sequential equality-constrained optimization for nonlinear programming. Computational Optimization and Applications, 2016Tradução . . Disponível em: https://doi.org/10.1007/s10589-016-9849-6. Acesso em: 08 nov. 2025.
APA
Birgin, E. J. G., Bueno, L. F., & Martinez, J. M. (2016). Sequential equality-constrained optimization for nonlinear programming. Computational Optimization and Applications. doi:10.1007/s10589-016-9849-6
NLM
Birgin EJG, Bueno LF, Martinez JM. Sequential equality-constrained optimization for nonlinear programming [Internet]. Computational Optimization and Applications. 2016 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-016-9849-6
Vancouver
Birgin EJG, Bueno LF, Martinez JM. Sequential equality-constrained optimization for nonlinear programming [Internet]. Computational Optimization and Applications. 2016 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-016-9849-6
Artigo de periodico
Optimality properties of an Augmented Lagrangian method on infeasible problems (2015)
Birgin, Ernesto Julian Goldberg ; Martinez, José Mario; Prudente, Leandro da Fonseca
Fonte: Computational Optimization and Applications. Unidade: IME
Assuntos: PROGRAMAÇÃO NÃO LINEAR, ALGORITMOS, PROGRAMAÇÃO MATEMÁTICA, CIÊNCIA DA COMPUTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg e MARTINEZ, José Mario e PRUDENTE, Leandro da Fonseca. Optimality properties of an Augmented Lagrangian method on infeasible problems. Computational Optimization and Applications, v. 60, n. 3, p. 609-631, 2015Tradução . . Disponível em: https://doi.org/10.1007/s10589-014-9685-5. Acesso em: 08 nov. 2025.
APA
Birgin, E. J. G., Martinez, J. M., & Prudente, L. da F. (2015). Optimality properties of an Augmented Lagrangian method on infeasible problems. Computational Optimization and Applications, 60( 3), 609-631. doi:10.1007/s10589-014-9685-5
NLM
Birgin EJG, Martinez JM, Prudente L da F. Optimality properties of an Augmented Lagrangian method on infeasible problems [Internet]. Computational Optimization and Applications. 2015 ; 60( 3): 609-631.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-014-9685-5
Vancouver
Birgin EJG, Martinez JM, Prudente L da F. Optimality properties of an Augmented Lagrangian method on infeasible problems [Internet]. Computational Optimization and Applications. 2015 ; 60( 3): 609-631.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-014-9685-5
Artigo de periodico
Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization (2012)
Birgin, Ernesto Julian Goldberg ; Martinez, J. M
Fonte: 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: 08 nov. 2025.
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 2025 nov. 08 ] 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 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-011-9396-0
Artigo de periodico
Evaluating bound-constrained minimization software (2012)
Birgin, Ernesto Julian Goldberg ; Gentil, Jan Marcel Paiva
Fonte: 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 GENTIL, Jan Marcel Paiva. Evaluating bound-constrained minimization software. Computational Optimization and Applications, v. 53, n. 2, p. 347-373, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10589-012-9466-y. Acesso em: 08 nov. 2025.
APA
Birgin, E. J. G., & Gentil, J. M. P. (2012). Evaluating bound-constrained minimization software. Computational Optimization and Applications, 53( 2), 347-373. doi:10.1007/s10589-012-9466-y
NLM
Birgin EJG, Gentil JMP. Evaluating bound-constrained minimization software [Internet]. Computational Optimization and Applications. 2012 ; 53( 2): 347-373.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-012-9466-y
Vancouver
Birgin EJG, Gentil JMP. Evaluating bound-constrained minimization software [Internet]. Computational Optimization and Applications. 2012 ; 53( 2): 347-373.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-012-9466-y
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.
Fonte: 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: 08 nov. 2025.
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 2025 nov. 08 ] 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 2025 nov. 08 ] 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.
Fonte: 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: 08 nov. 2025.
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 2025 nov. 08 ] 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 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-008-9232-3
Trabalho de evento-anais periodico
Proximal methods for nonlinear programming: double regularization and inexact subproblems (2010)
Eckstein, Jonathan; Silva, Paulo J. S.
Fonte: Computational Optimization and Applications. Nome do evento: Brazilian Workshop on Continous Optimization. Unidade: IME
Assunto: PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ECKSTEIN, Jonathan e SILVA, Paulo J. S. Proximal methods for nonlinear programming: double regularization and inexact subproblems. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s10589-009-9274-1. Acesso em: 08 nov. 2025. , 2010
APA
Eckstein, J., & Silva, P. J. S. (2010). Proximal methods for nonlinear programming: double regularization and inexact subproblems. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/s10589-009-9274-1
NLM
Eckstein J, Silva PJS. Proximal methods for nonlinear programming: double regularization and inexact subproblems [Internet]. Computational Optimization and Applications. 2010 ; 46( 2): 167-188.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-009-9274-1
Vancouver
Eckstein J, Silva PJS. Proximal methods for nonlinear programming: double regularization and inexact subproblems [Internet]. Computational Optimization and Applications. 2010 ; 46( 2): 167-188.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-009-9274-1
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
Fonte: 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: 08 nov. 2025.
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 2025 nov. 08 ] 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 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-007-9050-z
Artigo de periodico
Double-regularization proximal methods, with complementarity applications (2006)
Silva, Paulo J. S. ; Eckstein, Jonathan
Fonte: 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
SILVA, Paulo J. S. e ECKSTEIN, Jonathan. Double-regularization proximal methods, with complementarity applications. Computational Optimization and Applications, v. 33, n. 2, p. 115-156, 2006Tradução . . Disponível em: https://doi.org/10.1007/s10589-005-3065-0. Acesso em: 08 nov. 2025.
APA
Silva, P. J. S., & Eckstein, J. (2006). Double-regularization proximal methods, with complementarity applications. Computational Optimization and Applications, 33( 2), 115-156. doi:10.1007/s10589-005-3065-0
NLM
Silva PJS, Eckstein J. Double-regularization proximal methods, with complementarity applications [Internet]. Computational Optimization and Applications. 2006 ; 33( 2): 115-156.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-005-3065-0
Vancouver
Silva PJS, Eckstein J. Double-regularization proximal methods, with complementarity applications [Internet]. Computational Optimization and Applications. 2006 ; 33( 2): 115-156.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s10589-005-3065-0
Artigo de periodico
Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems (2005)
Birgin, Ernesto Julian Goldberg ; Castillo, Romulo A; Martinez, Jesus Manuel
Fonte: 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

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