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Artigo de periodico
On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees (2022)
Andreani, Roberto ; Haeser, Gabriel ; Schuverdt, María Laura ; Secchin, Leornardo Delarmelina ; Silva e Silva, Paulo José
Source: Mathematical Programming Computation. Unidade: IME
Subjects: OTIMIZAÇÃO NÃO LINEAR, PROGRAMAÇÃO MATEMÁTICA, PROGRAMAÇÃO NÃO LINEAR, MÉTODOS NUMÉRICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees. Mathematical Programming Computation, v. 14, n. 1, p. 121-146, 2022Tradução . . Disponível em: https://doi.org/10.1007/s12532-021-00207-9. Acesso em: 07 nov. 2025.
APA
Andreani, R., Haeser, G., Schuverdt, M. L., Secchin, L. D., & Silva e Silva, P. J. (2022). On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees. Mathematical Programming Computation, 14( 1), 121-146. doi:10.1007/s12532-021-00207-9
NLM
Andreani R, Haeser G, Schuverdt ML, Secchin LD, Silva e Silva PJ. On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees [Internet]. Mathematical Programming Computation. 2022 ; 14( 1): 121-146.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/s12532-021-00207-9
Vancouver
Andreani R, Haeser G, Schuverdt ML, Secchin LD, Silva e Silva PJ. On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees [Internet]. Mathematical Programming Computation. 2022 ; 14( 1): 121-146.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/s12532-021-00207-9
Artigo de periodico
On the best achievable quality of limit points of augmented Lagrangian schemes (2022)
Andreani, Roberto ; Haeser, Gabriel ; Mito, Leonardo ; Ramos, Alberto; Secchin, Leornardo Delarmelina
Source: Numerical Algorithms. Unidade: IME
Subjects: PROGRAMAÇÃO MATEMÁTICA, OTIMIZAÇÃO NÃO LINEAR, MÉTODOS NUMÉRICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. On the best achievable quality of limit points of augmented Lagrangian schemes. Numerical Algorithms, v. 90, n. 2, p. 851-877, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11075-021-01212-8. Acesso em: 07 nov. 2025.
APA
Andreani, R., Haeser, G., Mito, L., Ramos, A., & Secchin, L. D. (2022). On the best achievable quality of limit points of augmented Lagrangian schemes. Numerical Algorithms, 90( 2), 851-877. doi:10.1007/s11075-021-01212-8
NLM
Andreani R, Haeser G, Mito L, Ramos A, Secchin LD. On the best achievable quality of limit points of augmented Lagrangian schemes [Internet]. Numerical Algorithms. 2022 ; 90( 2): 851-877.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/s11075-021-01212-8
Vancouver
Andreani R, Haeser G, Mito L, Ramos A, Secchin LD. On the best achievable quality of limit points of augmented Lagrangian schemes [Internet]. Numerical Algorithms. 2022 ; 90( 2): 851-877.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/s11075-021-01212-8
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
Source: Computational Optimization and Applications. Unidade: IME
Subjects: 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: 07 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. 07 ] 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. 07 ] Available from: https://doi.org/10.1007/s10589-021-00281-8
Artigo de periodico
Optimality conditions and global convergence for nonlinear semidefinite programming (2020)
Andreani, Roberto ; Haeser, Gabriel ; Viana, Daiana S.
Source: Mathematical Programming. Unidade: IME
Subjects: PROGRAMAÇÃO MATEMÁTICA, PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto e HAESER, Gabriel e VIANA, Daiana S. Optimality conditions and global convergence for nonlinear semidefinite programming. Mathematical Programming, v. 180, n. 1-2, p. 203-235, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10107-018-1354-5. Acesso em: 07 nov. 2025.
APA
Andreani, R., Haeser, G., & Viana, D. S. (2020). Optimality conditions and global convergence for nonlinear semidefinite programming. Mathematical Programming, 180( 1-2), 203-235. doi:10.1007/s10107-018-1354-5
NLM
Andreani R, Haeser G, Viana DS. Optimality conditions and global convergence for nonlinear semidefinite programming [Internet]. Mathematical Programming. 2020 ; 180( 1-2): 203-235.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/s10107-018-1354-5
Vancouver
Andreani R, Haeser G, Viana DS. Optimality conditions and global convergence for nonlinear semidefinite programming [Internet]. Mathematical Programming. 2020 ; 180( 1-2): 203-235.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/s10107-018-1354-5
Artigo de periodico
New sequential optimality conditions for mathematical programs with complementarity constraints and algorithmic consequences (2019)
Andreani, Roberto ; Haeser, Gabriel ; Secchin, Leornardo Delarmelina ; Silva, P. J. S.
Source: SIAM Journal on Optimization. Unidade: IME
Subjects: PROGRAMAÇÃO NÃO LINEAR, TEOREMA DE EXISTÊNCIA, PROGRAMAÇÃO MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. New sequential optimality conditions for mathematical programs with complementarity constraints and algorithmic consequences. SIAM Journal on Optimization, v. 29, n. 4, p. 3201-3230, 2019Tradução . . Disponível em: https://doi.org/10.1137/18M121040X. Acesso em: 07 nov. 2025.
APA
Andreani, R., Haeser, G., Secchin, L. D., & Silva, P. J. S. (2019). New sequential optimality conditions for mathematical programs with complementarity constraints and algorithmic consequences. SIAM Journal on Optimization, 29( 4), 3201-3230. doi:10.1137/18M121040X
NLM
Andreani R, Haeser G, Secchin LD, Silva PJS. New sequential optimality conditions for mathematical programs with complementarity constraints and algorithmic consequences [Internet]. SIAM Journal on Optimization. 2019 ; 29( 4): 3201-3230.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1137/18M121040X
Vancouver
Andreani R, Haeser G, Secchin LD, Silva PJS. New sequential optimality conditions for mathematical programs with complementarity constraints and algorithmic consequences [Internet]. SIAM Journal on Optimization. 2019 ; 29( 4): 3201-3230.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1137/18M121040X
Artigo de periodico
Two new weak constraint qualifications and applications (2012)
Andreani, Roberto ; Haeser, Gabriel ; Schuverdt, María Laura ; Silva, Paulo J. S.
Source: SIAM Journal on Optimization. Unidade: IME
Assunto: PROGRAMAÇÃO MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. Two new weak constraint qualifications and applications. SIAM Journal on Optimization, v. 22, n. 3, p. 1109-1135 , 2012Tradução . . Disponível em: https://doi.org/10.1137/110843939. Acesso em: 07 nov. 2025.
APA
Andreani, R., Haeser, G., Schuverdt, M. L., & Silva, P. J. S. (2012). Two new weak constraint qualifications and applications. SIAM Journal on Optimization, 22( 3), 1109-1135 . doi:10.1137/110843939
NLM
Andreani R, Haeser G, Schuverdt ML, Silva PJS. Two new weak constraint qualifications and applications [Internet]. SIAM Journal on Optimization. 2012 ; 22( 3): 1109-1135 .[citado 2025 nov. 07 ] Available from: https://doi.org/10.1137/110843939
Vancouver
Andreani R, Haeser G, Schuverdt ML, Silva PJS. Two new weak constraint qualifications and applications [Internet]. SIAM Journal on Optimization. 2012 ; 22( 3): 1109-1135 .[citado 2025 nov. 07 ] Available from: https://doi.org/10.1137/110843939
Artigo de periodico
Spectral projected gradient and variable metric methods for optimization with linear inequalities (2005)
Andreani, Roberto; Birgin, Ernesto Julian Goldberg ; Martínez, José Mário; Yuan, JinYun
Source: IMA Journal of Numerical Analysis. Unidade: IME
Assunto: PROGRAMAÇÃO MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. Spectral projected gradient and variable metric methods for optimization with linear inequalities. IMA Journal of Numerical Analysis, v. 25, n. 2, p. 221-252, 2005Tradução . . Disponível em: https://doi.org/10.1093/imanum/drh020. Acesso em: 07 nov. 2025.
APA
Andreani, R., Birgin, E. J. G., Martínez, J. M., & Yuan, J. Y. (2005). Spectral projected gradient and variable metric methods for optimization with linear inequalities. IMA Journal of Numerical Analysis, 25( 2), 221-252. doi:10.1093/imanum/drh020
NLM
Andreani R, Birgin EJG, Martínez JM, Yuan JY. Spectral projected gradient and variable metric methods for optimization with linear inequalities [Internet]. IMA Journal of Numerical Analysis. 2005 ; 25( 2): 221-252.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1093/imanum/drh020
Vancouver
Andreani R, Birgin EJG, Martínez JM, Yuan JY. Spectral projected gradient and variable metric methods for optimization with linear inequalities [Internet]. IMA Journal of Numerical Analysis. 2005 ; 25( 2): 221-252.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1093/imanum/drh020

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