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Ellen H. Fukuda
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2020 – today
- 2025
- [j19]Kangming Chen, Ellen Hidemi Fukuda, Hiroyuki Sato:
Nonlinear conjugate gradient method for vector optimization on Riemannian manifolds with retraction and vector transport. Appl. Math. Comput. 486: 129001 (2025) - 2024
- [j18]Roberto Andreani, Ellen H. Fukuda, Gabriel Haeser, Daiana O. Santos, Leonardo D. Secchin:
Optimality Conditions for Nonlinear Second-Order Cone Programming and Symmetric Cone Programming. J. Optim. Theory Appl. 200(1): 1-33 (2024) - [j17]Atsushi Hori, Daisuke Tsuyuguchi, Ellen H. Fukuda:
A Method for Multi-Leader-Multi-Follower Games by Smoothing the Followers' Response Function. J. Optim. Theory Appl. 203(1): 305-335 (2024) - 2023
- [j16]Hiroki Tanabe, Ellen H. Fukuda, Nobuo Yamashita:
An accelerated proximal gradient method for multiobjective optimization. Comput. Optim. Appl. 86(2): 421-455 (2023) - [j15]Hiroki Tanabe, Ellen H. Fukuda, Nobuo Yamashita:
Convergence rates analysis of a multiobjective proximal gradient method. Optim. Lett. 17(2): 333-350 (2023) - [j14]Yuya Yamakawa, Tetsuya Ikegami, Ellen H. Fukuda, Nobuo Yamashita:
An equivalent nonlinear optimization model with triangular low-rank factorization for semidefinite programs. Optim. Methods Softw. 38(6): 1296-1310 (2023) - [j13]Hugo De Oliveira, Megumi Kaneko, Lila Boukhatem, Ellen Hidemi Fukuda:
Deep Reinforcement Learning-Aided Optimization of Multi-Interface Allocation for Short-Packet Communications. IEEE Trans. Cogn. Commun. Netw. 9(3): 738-753 (2023) - [i5]Keigo Habara, Ellen Hidemi Fukuda, Nobuo Yamashita:
Convergence analysis and acceleration of the smoothing methods for solving extensive-form games. CoRR abs/2303.11046 (2023) - 2022
- [i4]Hiroki Tanabe, Ellen H. Fukuda, Nobuo Yamashita:
An accelerated proximal gradient method for multiobjective optimization. CoRR abs/2202.10994 (2022) - [i3]Hiroki Tanabe, Ellen H. Fukuda, Nobuo Yamashita:
A globally convergent fast iterative shrinkage-thresholding algorithm with a new momentum factor for single and multi-objective convex optimization. CoRR abs/2205.05262 (2022) - 2021
- [j12]Roberto Andreani, Ellen Hidemi Fukuda, Gabriel Haeser, Daiana O. Santos, Leonardo D. Secchin:
On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming. Comput. Optim. Appl. 79(3): 633-648 (2021) - [j11]Thi Ha Ly Dinh, Megumi Kaneko, Ellen Hidemi Fukuda, Lila Boukhatem:
Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks With Outdated Channel Knowledge. IEEE Trans. Green Commun. Netw. 5(1): 146-159 (2021) - 2020
- [j10]Licia Amichi, Megumi Kaneko, Ellen Hidemi Fukuda, Nancy El Rachkidy, Alexandre Guitton:
Joint Allocation Strategies of Power and Spreading Factors With Imperfect Orthogonality in LoRa Networks. IEEE Trans. Commun. 68(6): 3750-3765 (2020) - [i2]Thi Ha Ly Dinh, Megumi Kaneko, Ellen Hidemi Fukuda, Lila Boukhatem:
Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks with Outdated Channel Knowledge. CoRR abs/2009.12275 (2020)
2010 – 2019
- 2019
- [j9]Hiroki Tanabe, Ellen H. Fukuda, Nobuo Yamashita:
Proximal gradient methods for multiobjective optimization and their applications. Comput. Optim. Appl. 72(2): 339-361 (2019) - [j8]Kanako Mita, Ellen H. Fukuda, Nobuo Yamashita:
Nonmonotone line searches for unconstrained multiobjective optimization problems. J. Glob. Optim. 75(1): 63-90 (2019) - [i1]Licia Amichi, Megumi Kaneko, Ellen Hidemi Fukuda, Nancy El Rachkidy, Alexandre Guitton:
Joint Allocation Strategies of Power and Spreading Factors with Imperfect Orthogonality in LoRa Networks. CoRR abs/1904.11303 (2019) - 2018
- [j7]Ellen H. Fukuda, Bruno F. Lourenço:
Exact augmented Lagrangian functions for nonlinear semidefinite programming. Comput. Optim. Appl. 71(2): 457-482 (2018) - [j6]Bruno F. Lourenço, Ellen H. Fukuda, Masao Fukushima:
Optimality Conditions for Problems over Symmetric Cones and a Simple Augmented Lagrangian Method. Math. Oper. Res. 43(4): 1233-1251 (2018) - [j5]Bruno F. Lourenço, Ellen H. Fukuda, Masao Fukushima:
Optimality conditions for nonlinear semidefinite programming via squared slack variables. Math. Program. 168(1-2): 177-200 (2018) - 2016
- [j4]Ellen H. Fukuda, Masao Fukushima:
The Use of Squared Slack Variables in Nonlinear Second-Order Cone Programming. J. Optim. Theory Appl. 170(2): 394-418 (2016) - 2013
- [j3]Ellen H. Fukuda, L. M. Graña Drummond:
Inexact projected gradient method for vector optimization. Comput. Optim. Appl. 54(3): 473-493 (2013) - [j2]Roberto Andreani, Ellen H. Fukuda, Paulo J. S. Silva:
A Gauss-Newton Approach for Solving Constrained Optimization Problems Using Differentiable Exact Penalties. J. Optim. Theory Appl. 156(2): 417-449 (2013) - 2012
- [j1]Ellen H. Fukuda, Paulo J. S. Silva, Masao Fukushima:
Differentiable Exact Penalty Functions for Nonlinear Second-Order Cone Programs. SIAM J. Optim. 22(4): 1607-1633 (2012)
Coauthor Index
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