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Artigo de periodico
On the paper “Augmented Lagrangian algorithms for solving the continuous nonlinear resource allocation problem” (2024)
Bueno, L. F; Haeser, Gabriel ; Kolossoski, Oliver
Source: European Journal of Operational Research. Unidade: IME
Assunto: PROGRAMAÇÃO NÃO LINEAR
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ABNT
BUENO, L. F e HAESER, Gabriel e KOLOSSOSKI, Oliver. On the paper “Augmented Lagrangian algorithms for solving the continuous nonlinear resource allocation problem”. European Journal of Operational Research, v. 313, n. 3, p. 1217-1222, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ejor.2023.11.001. Acesso em: 31 jul. 2024.
APA
Bueno, L. F., Haeser, G., & Kolossoski, O. (2024). On the paper “Augmented Lagrangian algorithms for solving the continuous nonlinear resource allocation problem”. European Journal of Operational Research, 313( 3), 1217-1222. doi:10.1016/j.ejor.2023.11.001
NLM
Bueno LF, Haeser G, Kolossoski O. On the paper “Augmented Lagrangian algorithms for solving the continuous nonlinear resource allocation problem” [Internet]. European Journal of Operational Research. 2024 ; 313( 3): 1217-1222.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1016/j.ejor.2023.11.001
Vancouver
Bueno LF, Haeser G, Kolossoski O. On the paper “Augmented Lagrangian algorithms for solving the continuous nonlinear resource allocation problem” [Internet]. European Journal of Operational Research. 2024 ; 313( 3): 1217-1222.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1016/j.ejor.2023.11.001
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
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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: 31 jul. 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 jul. 31 ] 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 jul. 31 ] Available from: https://doi.org/10.1007/s10957-023-02338-6
Artigo de periodico
Weak notions of nondegeneracy in nonlinear semidefinite programming (2024)
Andreani, Roberto ; Haeser, Gabriel ; Mito, Leonardo Makoto ; Ramírez, Héctor
Source: Mathematical Programming. Unidade: IME
Subjects: PESQUISA OPERACIONAL, PROGRAMAÇÃO NÃO LINEAR
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ABNT
ANDREANI, Roberto et al. Weak notions of nondegeneracy in nonlinear semidefinite programming. Mathematical Programming, v. 205, n. 1-2, p. 1-32, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10107-023-01970-4. Acesso em: 31 jul. 2024.
APA
Andreani, R., Haeser, G., Mito, L. M., & Ramírez, H. (2024). Weak notions of nondegeneracy in nonlinear semidefinite programming. Mathematical Programming, 205( 1-2), 1-32. doi:10.1007/s10107-023-01970-4
NLM
Andreani R, Haeser G, Mito LM, Ramírez H. Weak notions of nondegeneracy in nonlinear semidefinite programming [Internet]. Mathematical Programming. 2024 ; 205( 1-2): 1-32.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1007/s10107-023-01970-4
Vancouver
Andreani R, Haeser G, Mito LM, Ramírez H. Weak notions of nondegeneracy in nonlinear semidefinite programming [Internet]. Mathematical Programming. 2024 ; 205( 1-2): 1-32.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1007/s10107-023-01970-4
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
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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: 31 jul. 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 jul. 31 ] 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 jul. 31 ] 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
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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: 31 jul. 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 jul. 31 ] 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 jul. 31 ] 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
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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: 31 jul. 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 jul. 31 ] 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 jul. 31 ] Available from: https://www.siam.org/Portals/0/Conferences/OP/OP23_ABSTRACTS.pdf
Artigo de periodico
First- and second-order optimality conditions for second-order cone and semidefinite programming under a constant rank condition (2023)
Andreani, Roberto ; Haeser, Gabriel ; Mito, Leonardo ; Ramírez, Héctor; Silveira, Thiago Parente da
Source: Mathematical Programming. Unidade: IME
Subjects: 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. First- and second-order optimality conditions for second-order cone and semidefinite programming under a constant rank condition. Mathematical Programming, v. 202, p. 473-513, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10107-023-01942-8. Acesso em: 31 jul. 2024.
APA
Andreani, R., Haeser, G., Mito, L., Ramírez, H., & Silveira, T. P. da. (2023). First- and second-order optimality conditions for second-order cone and semidefinite programming under a constant rank condition. Mathematical Programming, 202, 473-513. doi:10.1007/s10107-023-01942-8
NLM
Andreani R, Haeser G, Mito L, Ramírez H, Silveira TP da. First- and second-order optimality conditions for second-order cone and semidefinite programming under a constant rank condition [Internet]. Mathematical Programming. 2023 ; 202 473-513.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1007/s10107-023-01942-8
Vancouver
Andreani R, Haeser G, Mito L, Ramírez H, Silveira TP da. First- and second-order optimality conditions for second-order cone and semidefinite programming under a constant rank condition [Internet]. Mathematical Programming. 2023 ; 202 473-513.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1007/s10107-023-01942-8
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
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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: 31 jul. 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 jul. 31 ] 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 jul. 31 ] Available from: https://doi.org/10.1007/s11228-018-0487-2
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: 31 jul. 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 jul. 31 ] 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 jul. 31 ] Available from: https://doi.org/10.1287/moor.2021.1203
Artigo de periodico
Naive constant rank-type constraint qualifications for multifold second-order cone programming and semidefinite programming (2022)
Andreani, Roberto ; Haeser, Gabriel ; Mito, Leonardo ; Ramírez, H. ; Santos, D. O.; Silveira, ‪Thiago Parente da
Source: Optimization Letters. Unidade: IME
Subjects: 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. Naive constant rank-type constraint qualifications for multifold second-order cone programming and semidefinite programming. Optimization Letters, v. 16, n. 2, p. 589-610, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11590-021-01737-w. Acesso em: 31 jul. 2024.
APA
Andreani, R., Haeser, G., Mito, L., Ramírez, H., Santos, D. O., & Silveira, ‪T. P. da. (2022). Naive constant rank-type constraint qualifications for multifold second-order cone programming and semidefinite programming. Optimization Letters, 16( 2), 589-610. doi:10.1007/s11590-021-01737-w
NLM
Andreani R, Haeser G, Mito L, Ramírez H, Santos DO, Silveira ‪TP da. Naive constant rank-type constraint qualifications for multifold second-order cone programming and semidefinite programming [Internet]. Optimization Letters. 2022 ; 16( 2): 589-610.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1007/s11590-021-01737-w
Vancouver
Andreani R, Haeser G, Mito L, Ramírez H, Santos DO, Silveira ‪TP da. Naive constant rank-type constraint qualifications for multifold second-order cone programming and semidefinite programming [Internet]. Optimization Letters. 2022 ; 16( 2): 589-610.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1007/s11590-021-01737-w
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
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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: 31 jul. 2024.
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 2024 jul. 31 ] 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 2024 jul. 31 ] Available from: https://doi.org/10.1007/s12532-021-00207-9
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: 31 jul. 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 jul. 31 ] 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 jul. 31 ] Available from: https://doi.org/10.1007/s10957-022-02056-5
Artigo de periodico
A shape optimization approach to the problem of covering a two-dimensional region with minimum-radius identical balls (2021)
Birgin, Ernesto Julian Goldberg ; Laurain, Antoine ; Massambone, Rafael ; Santana, Arthur Gabriel
Source: SIAM Journal on Scientific Computing. Unidade: IME
Subjects: CÁLCULO DE VARIAÇÕES, PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg et al. A shape optimization approach to the problem of covering a two-dimensional region with minimum-radius identical balls. SIAM Journal on Scientific Computing, v. 43, n. 3, p. A2047-A2078, 2021Tradução . . Disponível em: https://doi.org/10.1137/20M135950X. Acesso em: 31 jul. 2024.
APA
Birgin, E. J. G., Laurain, A., Massambone, R., & Santana, A. G. (2021). A shape optimization approach to the problem of covering a two-dimensional region with minimum-radius identical balls. SIAM Journal on Scientific Computing, 43( 3), A2047-A2078. doi:10.1137/20M135950X
NLM
Birgin EJG, Laurain A, Massambone R, Santana AG. A shape optimization approach to the problem of covering a two-dimensional region with minimum-radius identical balls [Internet]. SIAM Journal on Scientific Computing. 2021 ; 43( 3): A2047-A2078.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1137/20M135950X
Vancouver
Birgin EJG, Laurain A, Massambone R, Santana AG. A shape optimization approach to the problem of covering a two-dimensional region with minimum-radius identical balls [Internet]. SIAM Journal on Scientific Computing. 2021 ; 43( 3): A2047-A2078.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1137/20M135950X
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: 31 jul. 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 jul. 31 ] 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 jul. 31 ] Available from: https://doi.org/10.1007/s10589-021-00281-8
Artigo de periodico
On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods (2021)
Haeser, Gabriel ; Hinder, Oliver ; Ye, Yinyu
Source: Mathematical Programming. Unidade: IME
Subjects: PROGRAMAÇÃO MATEMÁTICA, PROGRAMAÇÃO CONVEXA, PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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HAESER, Gabriel e HINDER, Oliver e YE, Yinyu. On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods. Mathematical Programming, v. 186, n. 1-2, p. 257-288, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10107-019-01454-4. Acesso em: 31 jul. 2024.
APA
Haeser, G., Hinder, O., & Ye, Y. (2021). On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods. Mathematical Programming, 186( 1-2), 257-288. doi:10.1007/s10107-019-01454-4
NLM
Haeser G, Hinder O, Ye Y. On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods [Internet]. Mathematical Programming. 2021 ; 186( 1-2): 257-288.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1007/s10107-019-01454-4
Vancouver
Haeser G, Hinder O, Ye Y. On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods [Internet]. Mathematical Programming. 2021 ; 186( 1-2): 257-288.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1007/s10107-019-01454-4
Trabalho de evento
Posto constante para cones de segunda-ordem (2020)
Haeser, Gabriel
Source: Online seminar. Conference titles: Seminário Brasileiro de Otimização Contínua. Unidade: IME
Assunto: PROGRAMAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HAESER, Gabriel. Posto constante para cones de segunda-ordem. 2020, Anais.. São Paulo: IME-USP, 2020. . Acesso em: 31 jul. 2024.
APA
Haeser, G. (2020). Posto constante para cones de segunda-ordem. In Online seminar. São Paulo: IME-USP.
NLM
Haeser G. Posto constante para cones de segunda-ordem. Online seminar. 2020 ;((1 h 05 mi 15 seg.):[citado 2024 jul. 31 ]
Vancouver
Haeser G. Posto constante para cones de segunda-ordem. Online seminar. 2020 ;((1 h 05 mi 15 seg.):[citado 2024 jul. 31 ]
Artigo de periodico
An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem (2020)
Birgin, Ernesto Julian Goldberg ; Gómez, Walter; Haeser, Gabriel ; Mito, Leonardo Makoto; Santos, Daiana O
Source: Computational and Applied Mathematics. Unidade: IME
Subjects: PROGRAMAÇÃO NÃO LINEAR, GEOMETRIA ALGÉBRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIRGIN, Ernesto Julian Goldberg et al. An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem. Computational and Applied Mathematics, v. 39, 2020Tradução . . Disponível em: https://doi.org/10.1007/s40314-019-0991-5. Acesso em: 31 jul. 2024.
APA
Birgin, E. J. G., Gómez, W., Haeser, G., Mito, L. M., & Santos, D. O. (2020). An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem. Computational and Applied Mathematics, 39. doi:10.1007/s40314-019-0991-5
NLM
Birgin EJG, Gómez W, Haeser G, Mito LM, Santos DO. An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem [Internet]. Computational and Applied Mathematics. 2020 ; 39[citado 2024 jul. 31 ] Available from: https://doi.org/10.1007/s40314-019-0991-5
Vancouver
Birgin EJG, Gómez W, Haeser G, Mito LM, Santos DO. An Augmented Lagrangian algorithm for nonlinear semidefinite programming applied to the covering problem [Internet]. Computational and Applied Mathematics. 2020 ; 39[citado 2024 jul. 31 ] Available from: https://doi.org/10.1007/s40314-019-0991-5
Artigo de periodico
New constraint qualifications with second-order properties in nonlinear optimization (2020)
Haeser, Gabriel ; Ramos, A.
Source: Journal of Optimization Theory and Applications. Unidade: IME
Subjects: PROGRAMAÇÃO NÃO LINEAR, PROGRAMAÇÃO MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HAESER, Gabriel e RAMOS, A. New constraint qualifications with second-order properties in nonlinear optimization. Journal of Optimization Theory and Applications, v. 184, p. 494-506, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10957-019-01603-x. Acesso em: 31 jul. 2024.
APA
Haeser, G., & Ramos, A. (2020). New constraint qualifications with second-order properties in nonlinear optimization. Journal of Optimization Theory and Applications, 184, 494-506. doi:10.1007/s10957-019-01603-x
NLM
Haeser G, Ramos A. New constraint qualifications with second-order properties in nonlinear optimization [Internet]. Journal of Optimization Theory and Applications. 2020 ; 184 494-506.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1007/s10957-019-01603-x
Vancouver
Haeser G, Ramos A. New constraint qualifications with second-order properties in nonlinear optimization [Internet]. Journal of Optimization Theory and Applications. 2020 ; 184 494-506.[citado 2024 jul. 31 ] Available from: https://doi.org/10.1007/s10957-019-01603-x
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: 31 jul. 2024.
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 2024 jul. 31 ] 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 2024 jul. 31 ] 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: 31 jul. 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 jul. 31 ] 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 jul. 31 ] Available from: https://doi.org/10.1137/18M121040X

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