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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: 19 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. 19 ] 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. 19 ] 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: 19 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. 19 ] 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. 19 ] 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
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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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1007/s10589-021-00344-w
Artigo de periodico-carta/editorial
Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. [Editorial] (2020)
Birgin, Ernesto Julian Goldberg
Source: Computational Optimization and Applications. Unidade: IME
Assunto: OTIMIZAÇÃO MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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BIRGIN, Ernesto Julian Goldberg. Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. [Editorial]. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s10589-020-00203-0. Acesso em: 19 nov. 2025. , 2020
APA
Birgin, E. J. G. (2020). Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. [Editorial]. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/s10589-020-00203-0
NLM
Birgin EJG. Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. [Editorial] [Internet]. Computational Optimization and Applications. 2020 ; 76( 3): 615-619.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/s10589-020-00203-0
Vancouver
Birgin EJG. Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. [Editorial] [Internet]. Computational Optimization and Applications. 2020 ; 76( 3): 615-619.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/s10589-020-00203-0
Artigo de periodico
A fast gradient and function sampling method for finite-max functions (2018)
Helou, Elias Salomão ; Santos, Sandra A.; Simões, Lucas E. A.
Source: Computational Optimization and Applications. Unidade: ICMC
Subjects: FUNÇÕES ESPECIAIS, APROXIMAÇÃO, MÉTODOS NUMÉRICOS DE OTIMIZAÇÃO, MÉTODOS ITERATIVOS, OTIMIZAÇÃO MATEMÁTICA, OTIMIZAÇÃO GLOBAL, OTIMIZAÇÃO IRRESTRITA, OTIMIZAÇÃO CONVEXA, OTIMIZAÇÃO ESTOCÁSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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HELOU, Elias Salomão e SANTOS, Sandra A. e SIMÕES, Lucas E. A. A fast gradient and function sampling method for finite-max functions. Computational Optimization and Applications, v. 71, n. 3, p. 673-717, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10589-018-0030-2. Acesso em: 19 nov. 2025.
APA
Helou, E. S., Santos, S. A., & Simões, L. E. A. (2018). A fast gradient and function sampling method for finite-max functions. Computational Optimization and Applications, 71( 3), 673-717. doi:10.1007/s10589-018-0030-2
NLM
Helou ES, Santos SA, Simões LEA. A fast gradient and function sampling method for finite-max functions [Internet]. Computational Optimization and Applications. 2018 ; 71( 3): 673-717.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/s10589-018-0030-2
Vancouver
Helou ES, Santos SA, Simões LEA. A fast gradient and function sampling method for finite-max functions [Internet]. Computational Optimization and Applications. 2018 ; 71( 3): 673-717.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/s10589-018-0030-2
Artigo de periodico
Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points (2018)
Birgin, Ernesto Julian Goldberg ; Haeser, Gabriel ; Ramos, Alberto
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
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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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1007/s10589-017-9937-2
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: 19 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. 19 ] 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. 19 ] 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
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 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: 19 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. 19 ] 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. 19 ] 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.
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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1007/s10589-009-9240-y
Artigo de periodico-apres/intr
This special issue is dedicated to the VII Brazilian Workshop on Continuous Optimization... [Prefácio] (2010)
Birgin, Ernesto Julian Goldberg
Source: Computational Optimization and Applications. Unidade: IME
Assunto: OTIMIZAÇÃO MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg. This special issue is dedicated to the VII Brazilian Workshop on Continuous Optimization.. [Prefácio]. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s10589-010-9325-7. Acesso em: 19 nov. 2025. , 2010
APA
Birgin, E. J. G. (2010). This special issue is dedicated to the VII Brazilian Workshop on Continuous Optimization.. [Prefácio]. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/s10589-010-9325-7
NLM
Birgin EJG. This special issue is dedicated to the VII Brazilian Workshop on Continuous Optimization.. [Prefácio] [Internet]. Computational Optimization and Applications. 2010 ; 46( 2): 189-191.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/s10589-010-9325-7
Vancouver
Birgin EJG. This special issue is dedicated to the VII Brazilian Workshop on Continuous Optimization.. [Prefácio] [Internet]. Computational Optimization and Applications. 2010 ; 46( 2): 189-191.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/s10589-010-9325-7
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: 19 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. 19 ] 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. 19 ] 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.
Source: Computational Optimization and Applications. Conference titles: 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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1007/s10589-009-9274-1
Artigo de periodico
Exact penalties for variational inequalities with applications to nonlinear complementarity problems (2009)
André, Thiago Afonso de; Silva, Paulo J. S.
Source: Computational Optimization and Applications. Unidade: IME
Subjects: DUALIDADE EM VARIEDADES, FUNÇÕES GENERALIZADAS
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 complementarity problems. Computational Optimization and Applications, v. 47, n. 3, p. 401-429, 2009Tradução . . Disponível em: https://doi.org/10.1007/s10589-008-9232-3. Acesso em: 19 nov. 2025.
APA
André, T. A. de, & Silva, P. J. S. (2009). Exact penalties for variational inequalities with applications to nonlinear complementarity 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 complementarity problems [Internet]. Computational Optimization and Applications. 2009 ; 47( 3): 401-429.[citado 2025 nov. 19 ] 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 complementarity problems [Internet]. Computational Optimization and Applications. 2009 ; 47( 3): 401-429.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/s10589-008-9232-3
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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1007/s10589-007-9122-0
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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1007/s10589-007-9050-z
Artigo de periodico
Nonmonotone projected gradient methods based on barrier and Euclidean distances (2007)
Auslender, Alfred; Silva, Paulo J. S. ; Teboulle, Marc
Source: Computational Optimization and Applications. Unidade: IME
Subjects: OTIMIZAÇÃO RESTRITA, MÉTODOS NUMÉRICOS, OTIMIZAÇÃO CONVEXA, TEORIA ESPECTRAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AUSLENDER, Alfred e SILVA, Paulo J. S. e TEBOULLE, Marc. Nonmonotone projected gradient methods based on barrier and Euclidean distances. Computational Optimization and Applications, v. 38, n. 3, p. 305-327, 2007Tradução . . Disponível em: https://doi.org/10.1007/s10589-007-9025-0. Acesso em: 19 nov. 2025.
APA
Auslender, A., Silva, P. J. S., & Teboulle, M. (2007). Nonmonotone projected gradient methods based on barrier and Euclidean distances. Computational Optimization and Applications, 38( 3), 305-327. doi:10.1007/s10589-007-9025-0
NLM
Auslender A, Silva PJS, Teboulle M. Nonmonotone projected gradient methods based on barrier and Euclidean distances [Internet]. Computational Optimization and Applications. 2007 ; 38( 3): 305-327.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/s10589-007-9025-0
Vancouver
Auslender A, Silva PJS, Teboulle M. Nonmonotone projected gradient methods based on barrier and Euclidean distances [Internet]. Computational Optimization and Applications. 2007 ; 38( 3): 305-327.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1007/s10589-007-9025-0
Artigo de periodico
Double-regularization proximal methods, with complementarity applications (2006)
Silva, Paulo J. S. ; Eckstein, Jonathan
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
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: 19 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. 19 ] 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. 19 ] 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
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: 19 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. 19 ] 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. 19 ] 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: 19 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. 19 ] 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. 19 ] Available from: https://doi.org/10.1023/A:1019928808826

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