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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
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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: 16 jun. 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 jun. 16 ] 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 jun. 16 ] 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
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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: 16 jun. 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 jun. 16 ] 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 jun. 16 ] 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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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: 16 jun. 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 jun. 16 ] 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 jun. 16 ] 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
ABNT
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: 16 jun. 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 jun. 16 ] 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 jun. 16 ] Available from: https://doi.org/10.1007/s10589-020-00203-0
Trabalho de evento-anais periodico
An Augmented Lagrangian method for quasi-equilibrium problems (2020)
Bueno, L. F; Haeser, Gabriel ; Lara, F; Rojas, Frank Navarro
Source: Computational Optimization and Applications. Conference titles: Brazilian Workshop on Continuous Optimization. Unidade: IME
Assunto: PROGRAMAÇÃO MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUENO, L. F et al. An Augmented Lagrangian method for quasi-equilibrium problems. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s10589-020-00180-4. Acesso em: 16 jun. 2025. , 2020
APA
Bueno, L. F., Haeser, G., Lara, F., & Rojas, F. N. (2020). An Augmented Lagrangian method for quasi-equilibrium problems. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/s10589-020-00180-4
NLM
Bueno LF, Haeser G, Lara F, Rojas FN. An Augmented Lagrangian method for quasi-equilibrium problems [Internet]. Computational Optimization and Applications. 2020 ; 76( 3): 737-766.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1007/s10589-020-00180-4
Vancouver
Bueno LF, Haeser G, Lara F, Rojas FN. An Augmented Lagrangian method for quasi-equilibrium problems [Internet]. Computational Optimization and Applications. 2020 ; 76( 3): 737-766.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1007/s10589-020-00180-4
Trabalho de evento-anais periodico
Towards an efficient augmented Lagrangian method for convex quadratic programming (2020)
Bueno, Luís Felipe ; Haeser, Gabriel ; Santos, Luiz-Rafael
Source: Computational Optimization and Applications. Conference titles: Brazilian Workshop on Continuous Optimization. Unidade: IME
Assunto: PROGRAMAÇÃO MATEMÁTICA
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ABNT
BUENO, Luís Felipe e HAESER, Gabriel e SANTOS, Luiz-Rafael. Towards an efficient augmented Lagrangian method for convex quadratic programming. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s10589-019-00161-2. Acesso em: 16 jun. 2025. , 2020
APA
Bueno, L. F., Haeser, G., & Santos, L. -R. (2020). Towards an efficient augmented Lagrangian method for convex quadratic programming. Computational Optimization and Applications. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/s10589-019-00161-2
NLM
Bueno LF, Haeser G, Santos L-R. Towards an efficient augmented Lagrangian method for convex quadratic programming [Internet]. Computational Optimization and Applications. 2020 ; 76( 3): 767-800.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1007/s10589-019-00161-2
Vancouver
Bueno LF, Haeser G, Santos L-R. Towards an efficient augmented Lagrangian method for convex quadratic programming [Internet]. Computational Optimization and Applications. 2020 ; 76( 3): 767-800.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1007/s10589-019-00161-2
Artigo de periodico
A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization (2019)
Birgin, Ernesto Julian Goldberg ; Martinez, José Mario
Source: Computational Optimization and Applications. Unidade: IME
Subjects: OTIMIZAÇÃO MATEMÁTICA, PROGRAMAÇÃO MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg e MARTINEZ, José Mario. A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization. Computational Optimization and Applications, v. 73, n. 3, p. 707-753, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10589-019-00089-7. Acesso em: 16 jun. 2025.
APA
Birgin, E. J. G., & Martinez, J. M. (2019). A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization. Computational Optimization and Applications, 73( 3), 707-753. doi:10.1007/s10589-019-00089-7
NLM
Birgin EJG, Martinez JM. A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization [Internet]. Computational Optimization and Applications. 2019 ; 73( 3): 707-753.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1007/s10589-019-00089-7
Vancouver
Birgin EJG, Martinez JM. A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization [Internet]. Computational Optimization and Applications. 2019 ; 73( 3): 707-753.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1007/s10589-019-00089-7
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
ABNT
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: 16 jun. 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 jun. 16 ] 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 jun. 16 ] Available from: https://doi.org/10.1007/s10589-018-0030-2
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: 16 jun. 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 jun. 16 ] 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 jun. 16 ] Available from: https://doi.org/10.1007/s10589-010-9325-7
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: 16 jun. 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 jun. 16 ] 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 jun. 16 ] 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: 16 jun. 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 jun. 16 ] 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 jun. 16 ] Available from: https://doi.org/10.1007/s10589-007-9122-0
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: 16 jun. 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 jun. 16 ] 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 jun. 16 ] Available from: https://doi.org/10.1007/s10589-007-9025-0
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: 16 jun. 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 jun. 16 ] 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 jun. 16 ] Available from: https://doi.org/10.1023/A:1019928808826

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