Programa de Pós-Graduação em Matemática Aplicada

Ellen Hidemi Fukuda

Possui graduação em Bacharelado em Ciência de Computação (2004), mestrado em Ciência da Computação (2007) e doutorado em Matemática Aplicada (2011) pela Universidade de São Paulo. Fez pós-doutorado na Universidade Estadual de Campinas e foi pesquisadora visitante em Kyoto University (Japão). Entre Outubro de 2013 a Março de 2019, foi professora assistente em Kyoto University. Desde Abril de 2019, é professora associada na mesma universidade. (Texto informado pelo autor)

http://lattes.cnpq.br/9537835931283961 (21/03/2022)

Rótulo/Grupo:

Bolsa CNPq:

Período de análise:

Endereço: Kyoto University, Graduate School of Informatics, Department of Applied Mathematics and Physics. Yoshida-Honmachi Sakyo-ku 6068501 - Kyoto, - Japão Telefone: (075) 7534758 URL da Homepage: http://www-optima.amp.i.kyoto-u.ac.jp/~ellen

Grande área: Ciências Exatas e da Terra

Área: Matemática

Citações: Google Acadêmico

Produção bibliográfica

Artigos completos publicados em periódicos (22)
1. Fukuda, Ellen H.; GRAÑA DRUMMOND, L. M. ; MASUDA, ARIANE M.. A conjugate directions-type procedure for quadratic multiobjective optimization. OPTIMIZATION. v. 71, p. 419-437, 2022. Qualis: A3
2. ANDREANI, R. ; FUKUDA, E. H. ; HAESER, G. ; RAMÍREZ, H. ; SANTOS, D. O. ; SILVA, P. J. S. ; SILVEIRA, T. P.. Erratum to: New Constraint Qualifications and Optimality Conditions for Second Order Cone Programs. Set-Valued and Variational Analysis. v. 30, p. 329-333, 2022. Qualis: Não identificado (SET-VALUED AND VARIATIONAL ANALYSIS)
3. DINH, THI HA LY ; KANEKO, MEGUMI ; FUKUDA, ELLEN HIDEMI ; BOUKHATEM, LILA. Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks With Outdated Channel Knowledge. IEEE Transactions on Green Communications and Networking. v. 5, p. 146-159, 2021. Qualis: Não identificado (IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING)
4. ANDREANI, R. ; FUKUDA, E. H. ; HAESER, G. ; SANTOS, D. O. ; SECCHIN, L. D.. 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, 2021. Qualis: A4
5. AMICHI, LICIA ; KANEKO, MEGUMI ; FUKUDA, ELLEN HIDEMI ; EL RACHKIDY, NANCY ; GUITTON, ALEXANDRE. Joint Allocation Strategies of Power and Spreading Factors with Imperfect Orthogonality in LoRa Networks. IEEE TRANSACTIONS ON COMMUNICATIONS. v. 68, p. 3750-3765, 2020. Qualis: A1
6. TANABE, HIROKI ; Fukuda, Ellen H. ; YAMASHITA, NOBUO. Proximal gradient methods for multiobjective optimization and their applications. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. v. 72, p. 339-361, 2019. Qualis: A4
7. Fukuda, Ellen H.; DRUMMOND, L. M. GRAÑA ; RAUPP, FERNANDA M. P.. A barrier-type method for multiobjective optimization. OPTIMIZATION. v. 69, p. 2471-2487, 2019. Qualis: A3
8. MITA, KANAKO ; Fukuda, Ellen H. ; YAMASHITA, NOBUO. Nonmonotone line searches for unconstrained multiobjective optimization problems. JOURNAL OF GLOBAL OPTIMIZATION. v. 75, p. 63-90, 2019. Qualis: A3
9. Lourenço, B. F. ; Fukuda, Ellen H. ; Fukushima, Masao. Optimality Conditions for Problems over Symmetric Cones and a Simple Augmented Lagrangian Method. MATHEMATICS OF OPERATIONS RESEARCH (ONLINE),. p. 1233-1251, 2018. Qualis: A2 (MATHEMATICS OF OPERATIONS RESEARCH)
10. Fukuda, Ellen H. Multiobjective optimization: basis of descent methods (in Japanese). Communications of Operations Research of Japan. v. 63, p. 146-152, 2018.Qualis: Não identificado (COMMUNICATIONS OF OPERATIONS RESEARCH OF JAPAN)
11. LOURENÇO, BRUNO F. ; Fukuda, Ellen H. ; Fukushima, Masao. Optimality conditions for nonlinear semidefinite programming via squared slack variables. MATHEMATICAL PROGRAMMING. v. 168, p. 177-200, 2018. Qualis: A1
12. Fukuda, Ellen H.; LOURENÇO, BRUNO F.. Exact augmented Lagrangian functions for nonlinear semidefinite programming. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. v. 71, p. 457-482, 2018. Qualis: A4
13. Fukuda, Ellen H. Descent methods for multiobjective optimization: extending single-objective optimization methods. Systems, Control and Information. v. 62, p. 352-357, 2018. Qualis: Não identificado (SYSTEMS, CONTROL AND INFORMATION)
14. Fukushima, Masao ; FUKUDA, E. H.. A NOTE ON THE SQUARED SLACK VARIABLES TECHNIQUE FOR NONLINEAR OPTIMIZATION. Journal of the Operations Research Society of Japan. v. 60, p. 262-270, 2017. Qualis: B3 (JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA)
15. Fukuda, Ellen H.; GRAÑA DRUMMOND, L. M. ; RAUPP, F. M. P.. An external penalty-type method for multicriteria. TOP. v. 24, p. 493-513, 2016. Qualis: A2
16. Fukuda, Ellen H.; Fukushima, Masao. The Use of Squared Slack Variables in Nonlinear Second-Order Cone Programming. Journal of Optimization Theory and Applications. v. 170, p. 394-418, 2016. Qualis: A3
17. Fukuda, Ellen H.; DRUMMOND, LUIS MAURICIO GRAÑA. A SURVEY ON MULTIOBJECTIVE DESCENT METHODS. Pesquisa Operacional (Impresso). v. 34, p. 585-620, 2014. Qualis: B3
18. Fukuda, Ellen H.; Fukushima, Masao. Second-order cone programming and a method using squared slack variables. Communications of the Operations Research Society of Japan. v. 59, p. 707-715, 2014.Qualis: Não identificado (COMMUNICATIONS OF THE OPERATIONS RESEARCH SOCIETY OF JAPAN)
19. Andreani, Roberto ; Fukuda, Ellen H. ; Silva, Paulo J. S.. A Gauss¿Newton Approach for Solving Constrained Optimization Problems Using Differentiable Exact Penalties. Journal of Optimization Theory and Applications (Dordrecht. Online). v. 156, p. 417-449, 2013. Qualis: Não identificado (ONLINE))
20. Fukuda, Ellen H.; GRAÑA DRUMMOND, L. M.. Inexact projected gradient method for vector optimization. Computational Optimization and Applications (Dordrecht. Online). v. 54, p. 473-493, 2013. Qualis: Não identificado (ONLINE))
21. Fukuda, Ellen H.; Silva, Paulo J. S. ; Fukushima, Masao. Differentiable Exact Penalty Functions for Nonlinear Second-Order Cone Programs. SIAM Journal on Optimization. v. 22, p. 1607-1633, 2012. Qualis: A1
22. FUKUDA, E. H.; GRAÑA DRUMMOND, L. M.. On the convergence of the projected gradient method for vector optimization. Optimization (Print). v. 60, p. 1009-1021, 2011. Qualis: A3
Livros publicados/organizados ou edições (0)
Capítulos de livros publicados (0)
Textos em jornais de notícias/revistas (1)
1. Fukuda, Ellen H. Research on Optimization in Brazil and Japan. Kyoto University - Engineering, p. 20-21, 15 abr. 2015.
Trabalhos completos publicados em anais de congressos (5)
1. Fukuda, Ellen H.; Lourenço, B. F. ; Fukushima, Masao. A survey on second-order conditions for nonlinear symmetric cone programming via squared slack variables. Em: RIMS Workshop, v. 2108, 2018.Qualis: Não identificado (RIMS Workshop)
2. Fukuda, Ellen H. Descent methods in multiobjective optimization (in Japanese). Em: RAMP Symposium, v. 29, p. 115-124, 2017.Qualis: Não identificado (RAMP Symposium)
3. Fukuda, Ellen H.; Lourenço, B. F.. Constructing a continuously differentiable exact augmented Lagrangian function for nonlinear semidefinite programming. Em: RIMS Workshop, v. 2027, p. 150-157, 2017.Qualis: Não identificado (RIMS Workshop)
4. Tsuyuguchi, D. ; Fukuda, Ellen H. ; Hu, M. ; Fukushima, Masao. Reformulating multi-leader-follower games with smoothing method. Em: RIMS Workshop, v. 1981, p. 149-157, 2016.Qualis: Não identificado (RIMS Workshop)
5. Fukuda, Ellen H.; Lourenço, B. F. ; Fukushima, Masao. A note on nonlinear semidefinite programming and the squared slack variables technique. Em: RIMS Workshop, v. 1981, p. 143-148, 2016.Qualis: Não identificado (RIMS Workshop)
Resumos expandidos publicados em anais de congressos (2)
1. MITA, KANAKO ; Fukuda, Ellen H. ; YAMASHITA, NOBUO. On using nonmonotone line search techniques in steepest descent methods for multiobjective optimization (in Japanese). Em: 61st Annual Conference of the Institute of Systems, Control and Information Engineers, 2017, Kyoto. Proceedings of the 61st Annual Conference of the Institute of Systems, Control and Information Engineers, 2017. Qualis: Não identificado (61ST ANNUAL CONFERENCE OF THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS, 2017, KYOTO. PROCEEDINGS OF THE 61ST ANNUAL CONFERENCE OF THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS)
2. ISONISHI, I. ; FUKUDA, E. H. ; YAMASHITA, NOBUO. A new DC method for BMI-constrained optimization (in Japanese). Em: 61st Annual Conference of the Institute of Systems, Control and Information Engineers, 2017, Kyoto. Proceedings of the 61st Annual Conference of the Institute of Systems, Control and Information Engineers, 2017. Qualis: Não identificado (61ST ANNUAL CONFERENCE OF THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS, 2017, KYOTO. PROCEEDINGS OF THE 61ST ANNUAL CONFERENCE OF THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS)
Resumos publicados em anais de congressos (0)
Artigos aceitos para publicação (1)
1. TANABE, HIROKI ; FUKUDA, ELLEN HIDEMI ; YAMASHITA, NOBUO. Convergence rates analysis of multiobjective proximal gradient method. Optimization Letters. 2022. Qualis: A4
Apresentações de trabalho (3)
1. FUKUDA, E. H.; SILVA, P. J. S.. Algoritmo do Volume e Otimização Não Diferenciável. 2007. Apresentação de Trabalho/Congresso
2. Yamashita, N. ; Fukuda, Ellen H. ; Sato, H. ; Yamakawa, Y.. ELCAS: Global Science Campus for High-School Students. 2021. Curso de curta duração ministrado/Outra
3. Yamashita, N. ; Fukuda, Ellen H.. ELCAS: Global Science Campus for High-School Students. 2015. Curso de curta duração ministrado/Outra
Demais tipos de produção bibliográfica (0)

Produção técnica

Programas de computador com registro (0)
Programas de computador sem registro (0)
Produtos tecnológicos (0)
Processos ou técnicas (0)
Trabalhos técnicos (0)
Demais tipos de produção técnica (0)

Produção artística

Total de produção artística (0)

Orientações em andamento

Supervisão de pós-doutorado (0)
Tese de doutorado (2)
1. K. Chen. Multiobjective optimization methods. Tese (Doutorado em Applied Mathematics and Physics) - Kyoto University, . Início: 2022.
  Orientador: Ellen Hidemi Fukuda.
2. H. Tanabe. Multiobjective optimization and machine learning. Tese (Doutorado em Applied Mathematics and Physics) - Kyoto University, Japan Society for the Promotion of Science. Início: 2019.
  Orientador: Ellen Hidemi Fukuda.
Dissertação de mestrado (0)
Monografia de conclusão de curso de aperfeiçoamento/especialização (0)
Trabalho de conclusão de curso de graduação (0)
Iniciação científica (0)
Orientações de outra natureza (0)

Supervisões e orientações concluídas

Supervisão de pós-doutorado (0)
Tese de doutorado (0)
Dissertação de mestrado (15)
1. A. Hifu. A new quasi-Newton method for unconstrained multiobjective optimization problems. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2022.
  Orientador: Ellen Hidemi Fukuda.
2. K. Chen. A proximal gradient method with Bregman distance in multi-objective optimization. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2022.
  Orientador: Ellen Hidemi Fukuda.
3. Y. Mitsunari. A Globally convergent Levenberg-Marquardt method for degenerate optimization with equality and inequality constraints. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2021.
  Orientador: Ellen Hidemi Fukuda.
4. T. Tanaka. An uncertainty model for positive-valued parameters with application to robust optimization. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2021.
  Orientador: Ellen Hidemi Fukuda.
5. R. Bando. On the use of differentiable exact penalty functions for nonlinear semidefinite programming. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2020.
  Orientador: Ellen Hidemi Fukuda.
6. K. Horiguchi. A new sequential quadratic programming method for constrained multiobjective optimization problems. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2020.
  Orientador: Ellen Hidemi Fukuda.
7. H. Tanabe. Merit functions for multiobjective optimization and convergence rates analysis of multiobjective proximal gradient methods. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2019.
  Orientador: Ellen Hidemi Fukuda.
8. K. Mita. Nonmonotone descent methods for multiobjective optimization problems. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2019.
  Orientador: Ellen Hidemi Fukuda.
9. I. Isonishi. An efficient difference of convex functions algorithm for nonlinear conic programming. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2019.
  Orientador: Ellen Hidemi Fukuda.
10. A. Kobayashi. Differentiable exact augmented Lagrangian functions for nonlinear second-order cone programs. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2018.
  Orientador: Ellen Hidemi Fukuda.
11. T. Iizuka. Nonlinear second-order cone programming problems and the stabilized sequential quadratic programming. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2017.
  Orientador: Ellen Hidemi Fukuda.
12. T. Ikegami. An equivalent nonlinear optimization model with triangular low-rank factorization for semidefinite programs. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2017.
  Orientador: Ellen Hidemi Fukuda.
13. M. Morishita. A descent method for robust multiobjective optimization in the presence of implementation errors. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2016.
  Orientador: Ellen Hidemi Fukuda.
14. D. Tsuyuguchi. The use of smoothing methods in multi-leader-follower games. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2016.
  Orientador: Ellen Hidemi Fukuda.
15. T. Nishimura. Differentiable exact penalty functions for nonlinear optimization with easy constraints. Dissertação (Mestrado em Applied Mathematics and Physics) - Kyoto University, . 2015.
  Orientador: Ellen Hidemi Fukuda.
Monografia de conclusão de curso de aperfeiçoamento/especialização (0)
Trabalho de conclusão de curso de graduação (16)

Y. Nishimura. Monotonicity for proximal gradient methods in multiobjective optimization. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2022.
Orientador: Ellen Hidemi Fukuda.
K. Habara. Numerical methods for vector-valued support vector machines with mutual support vectors. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2021.
Orientador: Ellen Hidemi Fukuda.
K. Okabe. Improvement of the stabilized sequential quadratic semidefinite programming method for nonlinear programming problems. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2021.
Orientador: Ellen Hidemi Fukuda.
A. Hifu. A new descent method for unconstrained multiobjective optimization. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2020.
Orientador: Ellen Hidemi Fukuda.
S. Lkhagvadorj. A new weighted multiobjective Nash equilibrium game and a related existence theory. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2020.
Orientador: Ellen Hidemi Fukuda.
A. Kawakami. Augmented Lagrangian method for conditional value-at-risk optimization. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2020.
Orientador: Ellen Hidemi Fukuda.
Y. Mitsunari. Levenberg-Marquardt method for nonlinear programming using penalty functions. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2019.
Orientador: Ellen Hidemi Fukuda.
W. Tanigawa. Beamforming methods for cloud radio access networks and models with uncertainties. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2019.
Orientador: Ellen Hidemi Fukuda.
H. Tanabe. Proximal gradient method for multiobjective optimization and applications in robust multicriteria optimization. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2018.
Orientador: Ellen Hidemi Fukuda.
R. Bando. Exact penalty functions for nonlinear semidefinite programming. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2018.
Orientador: Ellen Hidemi Fukuda.
I. Isonishi. A new DC method for BMI-constrained optimization problems and convergence results. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2017.
Orientador: Ellen Hidemi Fukuda.
K. Mita. Nonmonotone line search in multiobjective settings. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2017.
Orientador: Ellen Hidemi Fukuda.
K. Tani. General slack variables for nonlinear second-order cone programming. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2017.
Orientador: Ellen Hidemi Fukuda.
A. Kobayashi. General exact augmented Lagrangian functions for nonlinear second-order cone programming. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2016.
Orientador: Ellen Hidemi Fukuda.
T. Iizuka. Test problems and methods for nonlinear second-order cone programming problems. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2015.
Orientador: Ellen Hidemi Fukuda.
M. Morishita. Steepest descent method for multiobjective optimization and its effectiveness. (Graduação em Applied Mathematics and Physics) - Kyoto University, . 2014.
Orientador: Ellen Hidemi Fukuda.
Iniciação científica (0)
Orientações de outra natureza (0)

Projetos de pesquisa

Total de projetos de pesquisa (8)

2019-2020. Robust nonlinear optimization for efficient resource utilization in future radio access networks with channel uncertainties
Descrição: Open Collaborative Research Program, National Institute of Informatics. Situação: Concluído; Natureza: Pesquisa. Alunos envolvidos: Doutorado: (1) . Integrantes: Ellen Hidemi Fukuda - Coordenador / Megumi Kaneko - Integrante. Financiador(es): National Institute of Informatics - Auxílio financeiro.
Membro: Ellen Hidemi Fukuda.
2019-Atual. Development of descent methods for multiobjective optimization and applications
Descrição: Grants-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science. Situação: Em andamento; Natureza: Pesquisa. Integrantes: Ellen Hidemi Fukuda - Coordenador. Financiador(es): Japan Society for the Promotion of Science - Auxílio financeiro.
Membro: Ellen Hidemi Fukuda.
2019-Atual. Teoria, algoritmos e aplicações em programação matemática e modelagem
Descrição: Chamada MCTIC/CNPq Nº 28/2018 - Universal/Faixa C. Situação: Em andamento; Natureza: Pesquisa. Integrantes: Ellen Hidemi Fukuda - Integrante / Benar Fux Svaiter - Coordenador. Financiador(es): Conselho Nacional de Desenvolvimento Científico e Tecnológico - Auxílio financeiro.
Membro: Ellen Hidemi Fukuda.
2018-2019. Descent methods for multiobjective and vector optimization problems with applications
Descrição: Promoted Research Activity Funds, The Kyoto University Foundation. Situação: Concluído; Natureza: Pesquisa. Integrantes: Ellen Hidemi Fukuda - Coordenador. Financiador(es): Kyoto University - Auxílio financeiro.
Membro: Ellen Hidemi Fukuda.
2018-2019. Nonlinear conic optimization for energy/spectrum-efficient radio resource allocation and signal processing in 5G cloud radio access networks
Descrição: Open Collaborative Research Program, National Institute of Informatics. Situação: Concluído; Natureza: Pesquisa. Integrantes: Ellen Hidemi Fukuda - Coordenador / Megumi Kaneko - Integrante. Financiador(es): National Institute of Informatics - Auxílio financeiro.
Membro: Ellen Hidemi Fukuda.
2016-2019. Evaluation of soil microbial communities in Japan's soil for constructing sustainable systems
Descrição: Grants-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science. Situação: Concluído; Natureza: Pesquisa. Integrantes: Ellen Hidemi Fukuda - Integrante / Andre Freire Cruz - Coordenador. Financiador(es): Japan Society for the Promotion of Science - Auxílio financeiro.
Membro: Ellen Hidemi Fukuda.
2014-2018. Methods and applications for nonlinear second-order cone proramming and nonlinear semidefinite programming problems
Descrição: Grants-in-Aid for Scientific Research, Young Scientists (B), Japan Society for the Promotion of Science. Situação: Concluído; Natureza: Pesquisa. Integrantes: Ellen Hidemi Fukuda - Coordenador. Financiador(es): Japan Society for the Promotion of Science - Auxílio financeiro.
Membro: Ellen Hidemi Fukuda.
2013-2014. Methods and applications for nonlinear second-order cone and semidefinite optimization
Descrição: Research Funds for Young Scientists (Start-Up), Kyoto University. Situação: Concluído; Natureza: Pesquisa. Integrantes: Ellen Hidemi Fukuda - Coordenador. Financiador(es): Kyoto University - Auxílio financeiro.
Membro: Ellen Hidemi Fukuda.

Prêmios e títulos

Total de prêmios e títulos (9)

14th ICT Innovation?s Excellent Research Awar for the supervised student H. Tanabe, Kyoto University.. 2020.
Membro: Ellen Hidemi Fukuda.
Student Thesis Award 2020 to the supervised student H. Tanabe, Operations Research Society of Japan.. 2020.
Membro: Ellen Hidemi Fukuda.
Student Thesis Award 2019 to the supervised student K. Mita, Operations Research Society of Japan.. 2019.
Membro: Ellen Hidemi Fukuda.
Finalist for Young Author's Award in SICE Annual Conference 2018 for the supervised student H. Tanabe, The Society of Instrument and Control Engineers.. 2018.
Membro: Ellen Hidemi Fukuda.
Best presentation award in Kansai SSOR 2018 for the supervised student I. Isonishi, Operations Research Society of Japan.. 2018.
Membro: Ellen Hidemi Fukuda.
"Research Encourage Award" para pesquisador jovem promissor em Pesquisa Operacional, Operations Research Society of Japan.. 2015.
Membro: Ellen Hidemi Fukuda.
Melhor tese de doutorado de 2011 em Matemática Aplicada, Universidade de São Paulo.. 2012.
Membro: Ellen Hidemi Fukuda.
Prêmio Odelar Leite Linhares de melhor dissertação de mestrado, Sociedade Brasileira de Matemática Aplicada e Computacional (SBMAC).. 2007.
Membro: Ellen Hidemi Fukuda.
2o. lugar no XI ACM South American Programming Contest, fase regional (São Paulo), ACM International Collegiate Programming Contest.. 2006.
Membro: Ellen Hidemi Fukuda.

Participação em eventos

Total de participação em eventos (53)

66th Annual Conference of the Institute of Systems, Control and Information Engineers. Recent developments in multiobjective descent methods. 2022. (Congresso).
22nd Conference of the International Federation of Operational Research Societies. A new uncertainty model for positive-valued parameters with applications. 2021. (Congresso).
RIMS Workshop: Theory, Algorithms and Applications of Mathematical Optimization. Sequential optimality conditions: extensions for nonlinear semidefinite and nonlinear second-order cone programming problems. 2020. (Congresso).
17th Workshop on Advances in Continuous Optimization (EUROPT). 2019. (Congresso).
30th European Conference on Operational Research. On using nonmonotone line searches in multiobjective descent methods. 2019. (Congresso).
International Conference on Optimization: Techniques and Applications 2019. A hybrid-type nonmonotone line search for multiobjective optimization. 2019. (Congresso).
Operations Research Society of Japan - Fall Conference. 2019. (Congresso).
STS Forum 16th Annual Meeting.Young leader. 2019. (Encontro).
The 31st RAMP Symposium. 2019. (Congresso).
23rd International Symposium on Mathematical Programming. Solving nonlinear conic programming problems with a new DC approach. 2018. (Congresso).
International Workshop on Control and Optimization. A new DC method for nonlinear conic optimization with applications to problems with BMI constraints. 2018. (Congresso).
Optimization: Modeling and Algorithms 2018. 2018. (Congresso).
RIMS Workshop: New Trends of Numerical Optimization in Advanced Information-Oriented Society. Second-order conditions for nonlinear symmetric conic programming problems. 2018. (Congresso).
XII Brazilian Workshop on Continuous Optimization. Nonlinear symmetric cone problems: optimality conditions and an augmented Lagrangian method. 2018. (Congresso).
Operations Research Society of Japan - Fall Conference. 2017. (Congresso).
Optimization: Modeling and Algorithms 2017. 2017. (Congresso).
RIMS Workshop: Development of Mathematical Optimization: Modeling and Algorithms. 2017. (Congresso).
SIAM Conference on Optimization. On the construction of exact augmented Lagrangian functions for nonlinear semidefinite optimization. 2017. (Congresso).
The 29th RAMP Symposium. Descent methods for multiobjective optimization. 2017. (Congresso).
Kansai Region Meeting from Operations Research Society of Japan - Memorial Lecture.Research on nonlinear programming, nonlinear second-order cone programming and multiobjective optimization. 2016. (Seminário).
Operations Research Society of Japan - 2016 Fall Conference. 2016. (Congresso).
Operations Research Society of Japan - 2016 Spring Conference. 2016. (Congresso).
Optimization: Modeling and Algorithms 2016. 2016. (Congresso).
RIMS Workshop: The State-of-the-Art Optimization Technique and Future Development. Constructing exact augmented Lagrangian functions for nonlinear semidefinite programming problems. 2016. (Congresso).
The Fifth International Conference on Continuous Optimization. Second-order conditions for nonlinear semidefinite optimization problems via slack variables approach. 2016. (Congresso).
Workshop on Optimization: Foundations and Frontiers.Exact penalty methods for optimization problems. 2016. (Seminário).
22nd International Symposium on Mathematical Programming. Studies on squared slack variables for nonlinear second-order cone and semidefinite programming. 2015. (Congresso).
Operations Research Society of Japan - 2015 Fall Conference. Reformulating nonlinear semidefinite programming problems with squared slack variables. 2015. (Congresso).
Operations Research Society of Japan - 2015 Spring Conference. 2015. (Congresso).
RIMS Workshop: Optimization for New Generations - Modeling and Computation. Nonlinear semidefinite programming problems and the squared slack variables technique. 2015. (Congresso).
Operations Research Society of Japan - 2014 Fall Conference. 2014. (Congresso).
RIMS Workshop: Optimization Algorithms - Theory, Application and Implementationstios. 2014. (Congresso).
SIAM Conference on Optimization 2014. 2014. (Congresso).
4th International Conference on Continuous Optimization. Slack variables in nonlinear second-order cone programming. 2013. (Congresso).
9th International Conference on Optimization: Techniques and Applicationsons. On the use of squared slack variables in nonlinear programming and nonlinear second-order cone programming. 2013. (Congresso).
Optimization: Modeling and Algorithms 2013.Slack variables in nonlinear second-order cone programming problems. 2013. (Seminário).
RIMS Workshop: Optimization - Theory and Applications. Slack variables in nonlinear second-order cone programming. 2013. (Congresso).
21st International Symposium on Mathematical Programming. Differentiable exact penalty functions for nonlinear second-order cone programs. 2012. (Congresso).
5th International Conference on Optimization and Control with Applications. Solving nonlinear second-order cone programs via exact penalty functions. 2012. (Congresso).
RIMS Workshop: The bridge between theory and application in optimization method. Differentiable exact penalty functions for nonlinear second-order cone programs. 2012. (Congresso).
28º Colóquio Brasileiro de Matemática. Semismooth reformulation for nonlinear second-order cone programming. 2011. (Congresso).
SIAM Conference on Optimization. A Gauss-Newton-type method for constrained optimization using differentiable exact penalties. 2011. (Congresso).
20th International Symposium on Mathematical Programming.A Gauss-Newton approach for solving constrained optimization via exact penalty functions. 2009. (Simpósio).
27º Colóquio Brasileiro de Matemática. Inexact projected gradient method for vector optimization. 2009. (Congresso).
VIII Brazilian Workshop on Continuous Optimization. A Gauss-Newton-type method for differentiable exact penalties. 2009. (Congresso).
VII Brazilian Workshop on Continuous Optimization. 2008. (Congresso).
XXX Congresso Nacional de Matemática Aplicada e Computacional. Algoritmo do volume e otimização não diferenciável. 2007. (Congresso).
19th International Symposium on Mathematical Programming. 2006. (Simpósio).
XI ACM South American Programming Contest.Final brasileira da XI maratona de programação. 2006. (Outra).
XXIX Congresso Nacional de Matemática Aplicada e Computacional. Resolução de problemas lineares inteiros por relaxação lagrangeana: métodos de subgradientes e algoritmo do volume. 2006. (Congresso).
13º Simpósio Internacional de Iniciação Científica da Universidade de São Paulo.Recuperação de informações por álgebra linear computacional. 2005. (Simpósio).
25º Colóquio Brasileiro de Matemática. 2005. (Congresso).
VI Brazilian Workshop on Continuous Optimization. 2005. (Congresso).

Organização de eventos

Total de organização de eventos (4)

Fukuda, Ellen H.. 10th IFAC Symposium on Robust Control Design - ROCOND 2022. 2022. (Congresso).. . 0.
Fukuda, Ellen H.. RAMP Symposium 2020. 2020. (Congresso).. . 0.
Fukuda, Ellen H.. Operations Research Society of Japan - Spring Conference. 2019. (Congresso).. . 0.
Fukuda, Ellen H.. Operations Research Society of Japan - Fall Conference. 2017. (Congresso).. . 0.

Lista de colaborações

Colaborações endôgenas (2)

Ellen Hidemi Fukuda ⇔ Daiana Oliveira dos Santos (2.0)
ANDREANI, R. ; FUKUDA, E. H. ; Haeser, Gabriel ; RAMÍREZ, H. ; SANTOS, D. O. ; SILVA, P. J. S. ; SILVEIRA, T. P.. Erratum to: New Constraint Qualifications and Optimality Conditions for Second Order Cone Programs. Set-Valued and Variational Analysis. v. 30, p. 329-333, 2022. Qualis: Não identificado (SET-VALUED AND VARIATIONAL ANALYSIS)
ANDREANI, R. ; FUKUDA, E. H. ; HAESER, G. ; SANTOS, D. O. ; SECCHIN, L. D.. 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, 2021. Qualis: A4

Ellen Hidemi Fukuda ⇔ Thiago Parente da Silveira (1.0)
ANDREANI, R. ; FUKUDA, E. H. ; Haeser, Gabriel ; RAMÍREZ, H. ; SANTOS, D. O. ; SILVA, P. J. S. ; SILVEIRA, T. P.. Erratum to: New Constraint Qualifications and Optimality Conditions for Second Order Cone Programs. Set-Valued and Variational Analysis. v. 30, p. 329-333, 2022. Qualis: Não identificado (SET-VALUED AND VARIATIONAL ANALYSIS)

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Data de processamento: 14/02/2025 15:44:21

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