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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
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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: 17 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. 17 ] 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. 17 ] 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
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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: 17 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. 17 ] 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. 17 ] 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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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: 17 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. 17 ] 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. 17 ] 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
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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: 17 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. 17 ] 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. 17 ] 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
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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: 17 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. 17 ] 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. 17 ] 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
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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: 17 jun. 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 jun. 17 ] 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 jun. 17 ] 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
Source: Computational Optimization and Applications. Unidade: IME
Subjects: PROGRAMAÇÃO MATEMÁTICA, PROGRAMAÇÃO NÃO LINEAR
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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: 17 jun. 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 jun. 17 ] 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 jun. 17 ] 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
Source: Computational Optimization and Applications. Unidade: IME
Subjects: PROGRAMAÇÃO NÃO LINEAR, OTIMIZAÇÃO MATEMÁTICA, PESQUISA OPERACIONAL, PROGRAMAÇÃO MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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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: 17 jun. 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 jun. 17 ] 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 jun. 17 ] 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
Source: Computational Optimization and Applications. Unidade: IME
Subjects: PROGRAMAÇÃO NÃO LINEAR, ALGORITMOS, PROGRAMAÇÃO MATEMÁTICA, CIÊNCIA DA COMPUTAÇÃO
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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: 17 jun. 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 jun. 17 ] 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 jun. 17 ] 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
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: 17 jun. 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 jun. 17 ] 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 jun. 17 ] 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
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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: 17 jun. 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 jun. 17 ] 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 jun. 17 ] 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
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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: 17 jun. 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 jun. 17 ] 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 jun. 17 ] 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: 17 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. 17 ] 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. 17 ] 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: 17 jun. 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 jun. 17 ] 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 jun. 17 ] 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: 17 jun. 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 jun. 17 ] 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 jun. 17 ] 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: 17 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. 17 ] 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. 17 ] Available from: https://doi.org/10.1007/s10589-008-9232-3
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: 17 jun. 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 jun. 17 ] 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 jun. 17 ] 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: 17 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. 17 ] 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. 17 ] 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: 17 jun. 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 jun. 17 ] 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 jun. 17 ] Available from: https://doi.org/10.1007/s10589-005-3065-0

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