11. Ellen H. Fukuda and Bruno F. Lourenço. Exact augmented Lagrangian functions for nonlinear semidefinite programming. Submitted, 2017. Available here.

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. Available here.

9. Bruno F. Lourenço, Ellen H. Fukuda and Masao Fukushima. Optimality conditions for nonlinear semidefinite programming via squared slack variables. To appear in Mathematical Programming, 2017. Available here.

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. Available here.

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. Available here.

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. Available here.

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

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. Available here.

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. Available here.

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. Available here.

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. Available here.

1. 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, 59, December 2014. Available here.

4. Ellen H. Fukuda. Descent methods in multiobjective optimization (in Japanese). Proceedings of the 29th RAMP Symposium, October, 2017.

3. Ellen H. Fukuda and Bruno F. Lourenço. Constructing a continuously differentiable exact augmented Lagrangian function for nonlinear semidefinite programming. RIMS Kôkyûroku, 2027:150-157, 2016. Available here.

2. Ellen H. Fukuda, Bruno F. Lourenço and Masao Fukushima. A note on nonlinear semidefinite programming and the squared slack variables technique. RIMS Kôkyûroku, 1981:143-148, 2015. Available here.

1. Daisuke Tsuyuguchi, Ellen H. Fukuda, Ming Hu and Masao Fukushima. Reformulating multi-leader-follower games with smoothing method (in Japanese). RIMS Kôkyûroku, 1981:149-157, 2015. Available here.

Please see here for conference presentations.

Ph.D. thesis: Topics in differentiable exact penalties (in Portuguese). Available here.

Master thesis: Volume algorithm and nondifferentiable optimization (in Portuguese). Available here.

Undergraduate research: Information retrieval using computational linear algebra (in Portuguese). Available here.