Main Page
About Me
Publications
Presentations
Awards / Grants
Courses / Students
Other Activities
Miscellanea
Links

Assistant professor
Graduate School of Informatics
Kyoto University
Contact: ellen at i.kyoto-u.ac.jp

  Refereed Journal Articles

13. Hiroki Tanabe, Ellen H. Fukuda and Nobuo Yamashita. Proximal gradient methods for multiobjective optimization and their applications. Submitted, 2018.

12. Ellen H. Fukuda, L. M. Graña Drummond and Fernanda M. P. Raupp. A barrier-type method for multiobjective optimization. Submitted, 2018. [ pdf ]

11. Ellen H. Fukuda and Bruno F. Lourenço. Exact augmented Lagrangian functions for nonlinear semidefinite programming. To appear in Computational Optimization and Applications, 2018. [ doi | pdf ]

10. Bruno F. Lourenço, Ellen H. Fukuda and Masao Fukushima. Optimality conditions for problems over symmetric cones and a simple augmented Lagrangian method. To appear in Mathematics of Operations Research, 2017. [ doi | pdf ]

9. Bruno F. Lourenço, Ellen H. Fukuda and Masao Fukushima. Optimality conditions for nonlinear semidefinite programming via squared slack variables. Mathematical Programming, 168(1-2):177-200, 2018. [ doi | pdf ]

8. Ellen H. Fukuda and Masao Fukushima. A note on the squared slack variables technique for nonlinear optimization. Journal of the Operations Research Society of Japan, 60(3):262-270, 2017. [ doi | pdf ]

7. Ellen H. Fukuda and Masao Fukushima. The use of squared slack variables in nonlinear second-order cone programming. Journal of Optimization Theory and Applications, 170(2):394-418, 2016. [ doi | pdf ]

6. Ellen H. Fukuda, L. M. Graña Drummond and Fernanda M. P. Raupp. An external penalty-type method for multicriteria. TOP, 24(2):493-513, 2016. [ doi | pdf ]

5. Ellen H. Fukuda and L. M. Graña Drummond. A survey on multiobjective descent methods. Pesquisa Operacional, 34(3):585-620, 2014. [ doi ]

4. Ellen H. Fukuda and L. M. Graña Drummond. Inexact projected gradient method for vector optimization. Computational Optimization and Applications, 54(3):473-493, 2013. [ doi | pdf ]

3. Roberto Andreani, Ellen H. Fukuda and Paulo J. S. Silva. A Gauss-Newton approach for solving constrained optimization problems using differentiable exact penalties. Journal of Optimization Theory and Applications, 156(2):417-449, 2013. [ doi | pdf ]

2. Ellen H. Fukuda, Paulo J. S. Silva and Masao Fukushima. Differentiable exact penalty functions for nonlinear second-order cone programs. SIAM Journal on Optimization, 22(4):1607-1633, 2012. [ doi | pdf ]

1. Ellen H. Fukuda and L. M. Graña Drummond. On the convergence of the projected gradient method for vector optimization. Optimization, 60(8-9):1009-1021, 2011. [ doi | pdf ]


  Special Issues

1. Ellen H. Fukuda. Descent methods for multiobjective optimization: extending single-objective optimization methods (in Japanese). To appear in Systems, Control and Information, 2018.

1. Ellen H. Fukuda. Multiobjective optimization: basis of descent methods (in Japanese). Special issue on "29th RAMP Symposium", Operations Research Society of Japan, vol. 63, pp. 146-152, March 2018. [ pdf ]

2. Ellen H. Fukuda and Masao Fukushima. Second-order cone programming and a method using squared slack variables (in Japanese). Special issue on "Theory on second-order cone programming", Operations Research Society of Japan, vol. 59, pp. 707-715, December 2014. [ pdf ]


  Conference Proceedings

6. Ellen H. Fukuda. Descent methods in multiobjective optimization (in Japanese). Proceedings of the 29th RAMP Symposium, vol. 29, pp. 115-124, October, 2017.

5. Kanako Mita, Ellen H. Fukuda and Nobuo Yamashita. On using nonmonotone line search techniques in steepest descent methods for multiobjective optimization (in Japanese). Proceedings of the 61st Annual Conference of the Institute of Systems, Control and Information Engineers, Kyoto, Japan, May 2017.

4. Ichiro Isonishi, Ellen H. Fukuda and Nobuo Yamashita. A new DC method for BMI-constrained optimization (in Japanese). Proceedings of the 61st Annual Conference of the Institute of Systems, Control and Information Engineers, Kyoto, Japan, May 2017.

3. Ellen H. Fukuda and Bruno F. Lourenço. Constructing a continuously differentiable exact augmented Lagrangian function for nonlinear semidefinite programming. RIMS Kôkyûroku, vol. 2027, pp. 150-157, Kyoto, Japan, April 2017. [ pdf ]

2. Daisuke Tsuyuguchi, Ellen H. Fukuda, Ming Hu and Masao Fukushima. Reformulating multi-leader-follower games with smoothing method (in Japanese). RIMS Kôkyûroku, vol. 1981, pp. 149-157, Kyoto, Japan, January 2016. [ pdf ]

1. Ellen H. Fukuda, Bruno F. Lourenço and Masao Fukushima. A note on nonlinear semidefinite programming and the squared slack variables technique. RIMS Kôkyûroku, vol. 1981, pp. 143-148, Kyoto, Japan, January 2016. [ pdf ]

Please see here for conference presentations.


  Monographs and Thesis

Ellen H. Fukuda. Topics in differentiable exact penalties (in Portuguese). Ph.D. thesis, University of São Paulo, Brazil, 2011. [ pdf ]

Ellen H. Fukuda. Volume algorithm and nondifferentiable optimization (in Portuguese). Master thesis, University of São Paulo, Brazil, 2007. [ pdf ]

Ellen H. Fukuda. Information retrieval using computational linear algebra (in Portuguese). Undergraduate thesis, University of São Paulo, Brazil, 2005. [ pdf ]


Last modified: Sun Jul 22 23:27:10 JST 2018

Ellen Hidemi Fukuda