ReP USP - Resultado da busca

Trabalho de evento-resumo
Constraint qualifications and strong global convergence properties of an augmented Lagrangian method on Riemannian manifolds (2024)
Couto, Kelvin R. ; Andreani, Roberto ; Ferreira, Orizon Pereira ; Haeser, Gabriel
Source: Notebook of abstracts. Conference titles: Brazilian Workshop on Continuous Optimization - BrazOpt. Unidade: IME
Subjects: OTIMIZAÇÃO RESTRITA, PROGRAMAÇÃO NÃO LINEAR, VARIEDADES RIEMANNIANAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COUTO, Kelvin R. et al. Constraint qualifications and strong global convergence properties of an augmented Lagrangian method on Riemannian manifolds. 2024, Anais.. Rio de Janeiro: FGV/EMAp, 2024. Disponível em: https://eventos.fgv.br/sites/eventos.fgv.br/files/arquivos/u1314/abst_notebook_vf2.pdf. Acesso em: 10 out. 2024.
APA
Couto, K. R., Andreani, R., Ferreira, O. P., & Haeser, G. (2024). Constraint qualifications and strong global convergence properties of an augmented Lagrangian method on Riemannian manifolds. In Notebook of abstracts. Rio de Janeiro: FGV/EMAp. Recuperado de https://eventos.fgv.br/sites/eventos.fgv.br/files/arquivos/u1314/abst_notebook_vf2.pdf
NLM
Couto KR, Andreani R, Ferreira OP, Haeser G. Constraint qualifications and strong global convergence properties of an augmented Lagrangian method on Riemannian manifolds [Internet]. Notebook of abstracts. 2024 ;[citado 2024 out. 10 ] Available from: https://eventos.fgv.br/sites/eventos.fgv.br/files/arquivos/u1314/abst_notebook_vf2.pdf
Vancouver
Couto KR, Andreani R, Ferreira OP, Haeser G. Constraint qualifications and strong global convergence properties of an augmented Lagrangian method on Riemannian manifolds [Internet]. Notebook of abstracts. 2024 ;[citado 2024 out. 10 ] Available from: https://eventos.fgv.br/sites/eventos.fgv.br/files/arquivos/u1314/abst_notebook_vf2.pdf
Artigo de periodico
Optimality conditions for nonlinear second-order cone programming and symmetric cone programming (2024)
Andreani, Roberto ; Fukuda, Ellen Hidemi ; Haeser, Gabriel ; Santos, Daiana O; Secchin, Leornardo Delarmelina
Source: Journal of Optimization Theory and Applications. Unidade: IME
Subjects: PROGRAMAÇÃO NÃO LINEAR, OTIMIZAÇÃO RESTRITA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. Optimality conditions for nonlinear second-order cone programming and symmetric cone programming. Journal of Optimization Theory and Applications, v. 200, p. 1-33, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10957-023-02338-6. Acesso em: 10 out. 2024.
APA
Andreani, R., Fukuda, E. H., Haeser, G., Santos, D. O., & Secchin, L. D. (2024). Optimality conditions for nonlinear second-order cone programming and symmetric cone programming. Journal of Optimization Theory and Applications, 200, 1-33. doi:10.1007/s10957-023-02338-6
NLM
Andreani R, Fukuda EH, Haeser G, Santos DO, Secchin LD. Optimality conditions for nonlinear second-order cone programming and symmetric cone programming [Internet]. Journal of Optimization Theory and Applications. 2024 ; 200 1-33.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s10957-023-02338-6
Vancouver
Andreani R, Fukuda EH, Haeser G, Santos DO, Secchin LD. Optimality conditions for nonlinear second-order cone programming and symmetric cone programming [Internet]. Journal of Optimization Theory and Applications. 2024 ; 200 1-33.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s10957-023-02338-6
Trabalho de evento-resumo
Weak notions of nondegeneracy in nonlinear semidefinite programming (2024)
Andreani, Roberto ; Haeser, Gabriel ; Mito, Leonardo Makoto ; Ramírez, Héctor
Source: Notebook of abstracts. Conference titles: Brazilian Workshop on Continuous Optimization - BrazOpt. Unidade: IME
Subjects: OTIMIZAÇÃO RESTRITA, PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. Weak notions of nondegeneracy in nonlinear semidefinite programming. 2024, Anais.. Rio de Janeiro: FGV/EMAp, 2024. Disponível em: https://eventos.fgv.br/sites/eventos.fgv.br/files/arquivos/u1314/abst_notebook_vf2.pdf. Acesso em: 10 out. 2024.
APA
Andreani, R., Haeser, G., Mito, L. M., & Ramírez, H. (2024). Weak notions of nondegeneracy in nonlinear semidefinite programming. In Notebook of abstracts. Rio de Janeiro: FGV/EMAp. Recuperado de https://eventos.fgv.br/sites/eventos.fgv.br/files/arquivos/u1314/abst_notebook_vf2.pdf
NLM
Andreani R, Haeser G, Mito LM, Ramírez H. Weak notions of nondegeneracy in nonlinear semidefinite programming [Internet]. Notebook of abstracts. 2024 ;[citado 2024 out. 10 ] Available from: https://eventos.fgv.br/sites/eventos.fgv.br/files/arquivos/u1314/abst_notebook_vf2.pdf
Vancouver
Andreani R, Haeser G, Mito LM, Ramírez H. Weak notions of nondegeneracy in nonlinear semidefinite programming [Internet]. Notebook of abstracts. 2024 ;[citado 2024 out. 10 ] Available from: https://eventos.fgv.br/sites/eventos.fgv.br/files/arquivos/u1314/abst_notebook_vf2.pdf
Artigo de periodico
Constraint qualifications and strong global Convergence properties of an augmented lagrangian method on riemannian manifolds (2024)
Andreani, Roberto ; Couto, Kelvin R. ; Ferreira, Orizon Pereira ; Haeser, Gabriel
Source: SIAM Journal on Optimization. Unidade: IME
Subjects: CÁLCULO DE VARIAÇÕES, CONTROLE ÓTIMO, ANÁLISE NUMÉRICA, PESQUISA OPERACIONAL, PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. Constraint qualifications and strong global Convergence properties of an augmented lagrangian method on riemannian manifolds. SIAM Journal on Optimization, v. 34, n. 2, p. 1799-1825, 2024Tradução . . Disponível em: https://doi.org/10.1137/23M1582382. Acesso em: 10 out. 2024.
APA
Andreani, R., Couto, K. R., Ferreira, O. P., & Haeser, G. (2024). Constraint qualifications and strong global Convergence properties of an augmented lagrangian method on riemannian manifolds. SIAM Journal on Optimization, 34( 2), 1799-1825. doi:10.1137/23M1582382
NLM
Andreani R, Couto KR, Ferreira OP, Haeser G. Constraint qualifications and strong global Convergence properties of an augmented lagrangian method on riemannian manifolds [Internet]. SIAM Journal on Optimization. 2024 ; 34( 2): 1799-1825.[citado 2024 out. 10 ] Available from: https://doi.org/10.1137/23M1582382
Vancouver
Andreani R, Couto KR, Ferreira OP, Haeser G. Constraint qualifications and strong global Convergence properties of an augmented lagrangian method on riemannian manifolds [Internet]. SIAM Journal on Optimization. 2024 ; 34( 2): 1799-1825.[citado 2024 out. 10 ] Available from: https://doi.org/10.1137/23M1582382
Artigo de periodico
Sequential constant rank constraint qualifications for nonlinear semidefinite programming with algorithmic applications (2023)
Andreani, Roberto ; Haeser, Gabriel ; Mito, Leonardo ; Ramírez, Héctor
Source: Set-Valued and Variational Analysis. Unidade: IME
Subjects: PESQUISA OPERACIONAL, PROGRAMAÇÃO NÃO LINEAR, OTIMIZAÇÃO GLOBAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. Sequential constant rank constraint qualifications for nonlinear semidefinite programming with algorithmic applications. Set-Valued and Variational Analysis, v. 31, n. artigo 3, p. 1-27, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11228-023-00666-3. Acesso em: 10 out. 2024.
APA
Andreani, R., Haeser, G., Mito, L., & Ramírez, H. (2023). Sequential constant rank constraint qualifications for nonlinear semidefinite programming with algorithmic applications. Set-Valued and Variational Analysis, 31( artigo 3), 1-27. doi:10.1007/s11228-023-00666-3
NLM
Andreani R, Haeser G, Mito L, Ramírez H. Sequential constant rank constraint qualifications for nonlinear semidefinite programming with algorithmic applications [Internet]. Set-Valued and Variational Analysis. 2023 ; 31( artigo 3): 1-27.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s11228-023-00666-3
Vancouver
Andreani R, Haeser G, Mito L, Ramírez H. Sequential constant rank constraint qualifications for nonlinear semidefinite programming with algorithmic applications [Internet]. Set-Valued and Variational Analysis. 2023 ; 31( artigo 3): 1-27.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s11228-023-00666-3
Trabalho de evento-resumo
Constant rank constraint qualification for nonlinear second-order cone programming (2023)
Haeser, Gabriel ; Andreani, Roberto ; Mito, Leonardo Makoto ; Ramírez, Héctor ; Silveira, Thiago Parente da
Source: Abstracts. Conference titles: Conference on Optimization - OP23. Unidade: IME
Assunto: PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HAESER, Gabriel et al. Constant rank constraint qualification for nonlinear second-order cone programming. 2023, Anais.. Philadelphia: SIAM, 2023. Disponível em: https://www.siam.org/Portals/0/Conferences/OP/OP23_ABSTRACTS.pdf. Acesso em: 10 out. 2024.
APA
Haeser, G., Andreani, R., Mito, L. M., Ramírez, H., & Silveira, T. P. da. (2023). Constant rank constraint qualification for nonlinear second-order cone programming. In Abstracts. Philadelphia: SIAM. Recuperado de https://www.siam.org/Portals/0/Conferences/OP/OP23_ABSTRACTS.pdf
NLM
Haeser G, Andreani R, Mito LM, Ramírez H, Silveira TP da. Constant rank constraint qualification for nonlinear second-order cone programming [Internet]. Abstracts. 2023 ;[citado 2024 out. 10 ] Available from: https://www.siam.org/Portals/0/Conferences/OP/OP23_ABSTRACTS.pdf
Vancouver
Haeser G, Andreani R, Mito LM, Ramírez H, Silveira TP da. Constant rank constraint qualification for nonlinear second-order cone programming [Internet]. Abstracts. 2023 ;[citado 2024 out. 10 ] Available from: https://www.siam.org/Portals/0/Conferences/OP/OP23_ABSTRACTS.pdf
Artigo de periodico
On optimality conditions for nonlinear conic programming (2022)
Andreani, Roberto ; Gómez, Walter ; Haeser, Gabriel ; Mito, Leonardo ; Ramos, Alberto
Source: Mathematics of Operations Research. Unidade: IME
Subjects: PESQUISA OPERACIONAL, PROGRAMAÇÃO MATEMÁTICA, PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. On optimality conditions for nonlinear conic programming. Mathematics of Operations Research, v. 47, n. 3, p. 2160-2185, 2022Tradução . . Disponível em: https://doi.org/10.1287/moor.2021.1203. Acesso em: 10 out. 2024.
APA
Andreani, R., Gómez, W., Haeser, G., Mito, L., & Ramos, A. (2022). On optimality conditions for nonlinear conic programming. Mathematics of Operations Research, 47( 3), 2160-2185. doi:10.1287/moor.2021.1203
NLM
Andreani R, Gómez W, Haeser G, Mito L, Ramos A. On optimality conditions for nonlinear conic programming [Internet]. Mathematics of Operations Research. 2022 ; 47( 3): 2160-2185.[citado 2024 out. 10 ] Available from: https://doi.org/10.1287/moor.2021.1203
Vancouver
Andreani R, Gómez W, Haeser G, Mito L, Ramos A. On optimality conditions for nonlinear conic programming [Internet]. Mathematics of Operations Research. 2022 ; 47( 3): 2160-2185.[citado 2024 out. 10 ] Available from: https://doi.org/10.1287/moor.2021.1203
Artigo de periodico
Erratum to New constraint qualifications and optimality conditions for second order cone programs (2022)
Andreani, Roberto ; Fukuda, Ellen Hidemi ; Haeser, Gabriel ; Ramírez, H; Santos, Daiana O; Silva, Paulo J. S. ; Silveira, Thiago Parente da
Source: Set-Valued and Varational Analysis. Unidade: IME
Subjects: PROGRAMAÇÃO NÃO LINEAR, PROGRAMAÇÃO CONVEXA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. Erratum to New constraint qualifications and optimality conditions for second order cone programs. Set-Valued and Varational Analysis, v. 30, n. 1, p. 329-333, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11228-018-0487-2. Acesso em: 10 out. 2024.
APA
Andreani, R., Fukuda, E. H., Haeser, G., Ramírez, H., Santos, D. O., Silva, P. J. S., & Silveira, T. P. da. (2022). Erratum to New constraint qualifications and optimality conditions for second order cone programs. Set-Valued and Varational Analysis, 30( 1), 329-333. doi:10.1007/s11228-018-0487-2
NLM
Andreani R, Fukuda EH, Haeser G, Ramírez H, Santos DO, Silva PJS, Silveira TP da. Erratum to New constraint qualifications and optimality conditions for second order cone programs [Internet]. Set-Valued and Varational Analysis. 2022 ; 30( 1): 329-333.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s11228-018-0487-2
Vancouver
Andreani R, Fukuda EH, Haeser G, Ramírez H, Santos DO, Silva PJS, Silveira TP da. Erratum to New constraint qualifications and optimality conditions for second order cone programs [Internet]. Set-Valued and Varational Analysis. 2022 ; 30( 1): 329-333.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s11228-018-0487-2
Artigo de periodico
Global convergence of algorithms under constant rank conditions for nonlinear second-order cone programming (2022)
Andreani, Roberto ; Haeser, Gabriel ; Mito, Leonardo ; Ramírez, C. Héctor ; Silveira, Thiago Parente da
Source: Journal of Optimization Theory and Applications. Unidade: IME
Subjects: PESQUISA OPERACIONAL, PROGRAMAÇÃO MATEMÁTICA, PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. Global convergence of algorithms under constant rank conditions for nonlinear second-order cone programming. Journal of Optimization Theory and Applications, v. 195, p. 42-78, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10957-022-02056-5. Acesso em: 10 out. 2024.
APA
Andreani, R., Haeser, G., Mito, L., Ramírez, C. H., & Silveira, T. P. da. (2022). Global convergence of algorithms under constant rank conditions for nonlinear second-order cone programming. Journal of Optimization Theory and Applications, 195, 42-78. doi:10.1007/s10957-022-02056-5
NLM
Andreani R, Haeser G, Mito L, Ramírez CH, Silveira TP da. Global convergence of algorithms under constant rank conditions for nonlinear second-order cone programming [Internet]. Journal of Optimization Theory and Applications. 2022 ; 195 42-78.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s10957-022-02056-5
Vancouver
Andreani R, Haeser G, Mito L, Ramírez CH, Silveira TP da. Global convergence of algorithms under constant rank conditions for nonlinear second-order cone programming [Internet]. Journal of Optimization Theory and Applications. 2022 ; 195 42-78.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s10957-022-02056-5
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: 10 out. 2024.
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 2024 out. 10 ] 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 2024 out. 10 ] Available from: https://doi.org/10.1007/s11075-021-01212-8
Artigo de periodico
On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization (2022)
Amaral, V. S.; Andreani, Roberto ; Birgin, Ernesto Julian Goldberg ; Marcondes, Diaulas Murize Santana Vieira ; Martínez, José Mário
Source: Journal of Global Optimization. Unidade: IME
Subjects: PROGRAMAÇÃO NÃO LINEAR, CÁLCULO DE VARIAÇÕES, CONTROLE ÓTIMO, MÉTODOS NUMÉRICOS, ANÁLISE NUMÉRICA, PESQUISA OPERACIONAL, CIÊNCIA DA COMPUTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMARAL, V. S. et al. On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization. Journal of Global Optimization, v. 84, p. 527-561, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10898-022-01168-6. Acesso em: 10 out. 2024.
APA
Amaral, V. S., Andreani, R., Birgin, E. J. G., Marcondes, D. M. S. V., & Martínez, J. M. (2022). On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization. Journal of Global Optimization, 84, 527-561. doi:10.1007/s10898-022-01168-6
NLM
Amaral VS, Andreani R, Birgin EJG, Marcondes DMSV, Martínez JM. On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization [Internet]. Journal of Global Optimization. 2022 ; 84 527-561.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s10898-022-01168-6
Vancouver
Amaral VS, Andreani R, Birgin EJG, Marcondes DMSV, Martínez JM. On complexity and convergence of high-order coordinate descent algorithms for smooth nonconvex box-constrained minimization [Internet]. Journal of Global Optimization. 2022 ; 84 527-561.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s10898-022-01168-6
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: 10 out. 2024.
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 2024 out. 10 ] 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 2024 out. 10 ] Available from: https://doi.org/10.1007/s10589-021-00281-8
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: 10 out. 2024.
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 2024 out. 10 ] 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 2024 out. 10 ] Available from: https://doi.org/10.1137/18M121040X
Artigo de periodico
A second-order sequential optimality condition associated to the convergence of optimization algorithms (2017)
Andreani, Roberto; Silva, Paulo J. S.; Haeser, Gabriel ; Ramos, Alberto
Source: IMA Journal of Numerical Analysis. Unidade: IME
Subjects: ANÁLISE NUMÉRICA, PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. A second-order sequential optimality condition associated to the convergence of optimization algorithms. IMA Journal of Numerical Analysis, v. 37, n. 4, p. 1902-1929, 2017Tradução . . Disponível em: https://doi.org/10.1093/imanum/drw064. Acesso em: 10 out. 2024.
APA
Andreani, R., Silva, P. J. S., Haeser, G., & Ramos, A. (2017). A second-order sequential optimality condition associated to the convergence of optimization algorithms. IMA Journal of Numerical Analysis, 37( 4), 1902-1929. doi:10.1093/imanum/drw064
NLM
Andreani R, Silva PJS, Haeser G, Ramos A. A second-order sequential optimality condition associated to the convergence of optimization algorithms [Internet]. IMA Journal of Numerical Analysis. 2017 ; 37( 4): 1902-1929.[citado 2024 out. 10 ] Available from: https://doi.org/10.1093/imanum/drw064
Vancouver
Andreani R, Silva PJS, Haeser G, Ramos A. A second-order sequential optimality condition associated to the convergence of optimization algorithms [Internet]. IMA Journal of Numerical Analysis. 2017 ; 37( 4): 1902-1929.[citado 2024 out. 10 ] Available from: https://doi.org/10.1093/imanum/drw064
Artigo de periodico
On second-order optimality conditions in nonlinear optimization (2017)
Andreani, Roberto; Behling, Roger; Haeser, Gabriel ; Silva, Paulo J. Silva e
Source: Optimization Methods and Software. Unidade: IME
Subjects: PESQUISA OPERACIONAL, PROGRAMAÇÃO MATEMÁTICA, OTIMIZAÇÃO MATEMÁTICA, PROGRAMAÇÃO NÃO LINEAR, OTIMIZAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. On second-order optimality conditions in nonlinear optimization. Optimization Methods and Software, v. 32, n. 1, p. 22-38, 2017Tradução . . Disponível em: https://doi.org/10.1080/10556788.2016.1188926. Acesso em: 10 out. 2024.
APA
Andreani, R., Behling, R., Haeser, G., & Silva, P. J. S. e. (2017). On second-order optimality conditions in nonlinear optimization. Optimization Methods and Software, 32( 1), 22-38. doi:10.1080/10556788.2016.1188926
NLM
Andreani R, Behling R, Haeser G, Silva PJS e. On second-order optimality conditions in nonlinear optimization [Internet]. Optimization Methods and Software. 2017 ; 32( 1): 22-38.[citado 2024 out. 10 ] Available from: https://doi.org/10.1080/10556788.2016.1188926
Vancouver
Andreani R, Behling R, Haeser G, Silva PJS e. On second-order optimality conditions in nonlinear optimization [Internet]. Optimization Methods and Software. 2017 ; 32( 1): 22-38.[citado 2024 out. 10 ] Available from: https://doi.org/10.1080/10556788.2016.1188926
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: 10 out. 2024.
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 2024 out. 10 ] 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 2024 out. 10 ] Available from: https://doi.org/10.1137/110843939
Artigo de periodico
A relaxed constant positive linear dependence constraint qualification and applications (2011)
Andreani, Roberto; Haeser, Gabriel ; Schuverdt, María Laura ; Silva, Paulo J. S.
Source: Mathematical Programming. Unidade: IME
Subjects: PROGRAMAÇÃO NÃO LINEAR, CÁLCULO DE VARIAÇÕES, CONTROLE ÓTIMO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. A relaxed constant positive linear dependence constraint qualification and applications. Mathematical Programming, v. 135, n. 1-2, p. 255-273, 2011Tradução . . Disponível em: https://doi.org/10.1007/s10107-011-0456-0. Acesso em: 10 out. 2024.
APA
Andreani, R., Haeser, G., Schuverdt, M. L., & Silva, P. J. S. (2011). A relaxed constant positive linear dependence constraint qualification and applications. Mathematical Programming, 135( 1-2), 255-273. doi:10.1007/s10107-011-0456-0
NLM
Andreani R, Haeser G, Schuverdt ML, Silva PJS. A relaxed constant positive linear dependence constraint qualification and applications [Internet]. Mathematical Programming. 2011 ; 135( 1-2): 255-273.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s10107-011-0456-0
Vancouver
Andreani R, Haeser G, Schuverdt ML, Silva PJS. A relaxed constant positive linear dependence constraint qualification and applications [Internet]. Mathematical Programming. 2011 ; 135( 1-2): 255-273.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s10107-011-0456-0
Artigo de periodico
Augmented Lagrangian methods under the constant positive linear dependence constraint qualification (2008)
Andreani, Roberto; Birgin, Ernesto Julian Goldberg ; Martínez, José Mário ; Schuverdt, M. L.
Source: Mathematical Programming. Unidade: IME
Assunto: PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. Augmented Lagrangian methods under the constant positive linear dependence constraint qualification. Mathematical Programming, v. 111, n. 1-2, p. 5-32, 2008Tradução . . Disponível em: https://doi.org/10.1007/s10107-006-0077-1. Acesso em: 10 out. 2024.
APA
Andreani, R., Birgin, E. J. G., Martínez, J. M., & Schuverdt, M. L. (2008). Augmented Lagrangian methods under the constant positive linear dependence constraint qualification. Mathematical Programming, 111( 1-2), 5-32. doi:10.1007/s10107-006-0077-1
NLM
Andreani R, Birgin EJG, Martínez JM, Schuverdt ML. Augmented Lagrangian methods under the constant positive linear dependence constraint qualification [Internet]. Mathematical Programming. 2008 ; 111( 1-2): 5-32.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s10107-006-0077-1
Vancouver
Andreani R, Birgin EJG, Martínez JM, Schuverdt ML. Augmented Lagrangian methods under the constant positive linear dependence constraint qualification [Internet]. Mathematical Programming. 2008 ; 111( 1-2): 5-32.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s10107-006-0077-1
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: 10 out. 2024.
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 2024 out. 10 ] 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 2024 out. 10 ] Available from: https://doi.org/10.1093/imanum/drh020
Relatorio tecnico
Augmented Lagrangian methods under the constant positive linear dependence constraint qualification (2004)
Andreani, Roberto; Birgin, Ernesto Julian Goldberg ; Martínez, José Mario; Schuverdt, M. L.
Unidade: IME
Assunto: PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANDREANI, Roberto et al. Augmented Lagrangian methods under the constant positive linear dependence constraint qualification. . Campinas: IMECC-UNICAMP. . Acesso em: 10 out. 2024. , 2004
APA
Andreani, R., Birgin, E. J. G., Martínez, J. M., & Schuverdt, M. L. (2004). Augmented Lagrangian methods under the constant positive linear dependence constraint qualification. Campinas: IMECC-UNICAMP.
NLM
Andreani R, Birgin EJG, Martínez JM, Schuverdt ML. Augmented Lagrangian methods under the constant positive linear dependence constraint qualification. 2004 ;[citado 2024 out. 10 ]
Vancouver
Andreani R, Birgin EJG, Martínez JM, Schuverdt ML. Augmented Lagrangian methods under the constant positive linear dependence constraint qualification. 2004 ;[citado 2024 out. 10 ]

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Date published

Subjects

Source title

Publisher

Funding Agencies

Non normalized affiliation