| A memoryless symmetric rank-one method with sufficient descent property for unconstrained optimization S Nakayama, Y Narushima, H Yabe Journal of the Operations Research Society of Japan 61 (1), 53-70, 2018 | 16 | 2018 |
| Memoryless quasi-Newton methods based on spectral-scaling Broyden family for unconstrained optimization. S Nakayama, Y Narushima, H Yabe Journal of Industrial & Management Optimization 15 (4), 2019 | 15 | 2019 |
| Inexact proximal memoryless quasi-Newton methods based on the Broyden family for minimizing composite functions S Nakayama, Y Narushima, H Yabe Computational Optimization and Applications 79 (1), 127-154, 2021 | 11 | 2021 |
| A hybrid method of three-term conjugate gradient method and memoryless quasi-Newton method for unconstrained optimization S Nakayama SUT journal of Mathematics 54 (1), 79-98, 2018 | 11 | 2018 |
| On the superiority of PGMs to PDCAs in nonsmooth nonconvex sparse regression S Nakayama, J Gotoh Optimization Letters 15 (8), 2831-2860, 2021 | 8 | 2021 |
| An active-set memoryless quasi-Newton method based on a spectral-scaling Broyden family for bound constrained optimization S Nakayama, Y Narushima, H Nishio, H Yabe Results in Control and Optimization 3, 100012, 2021 | 4 | 2021 |
| Global convergence of a proximal memoryless symmetric rank one method for minimizing composite functions S Nakayama, Y Narushima In Proceedings of International Conference on Nonlinear Analysis and Convex …, 2021 | 3* | 2021 |
| Memoryless Quasi-Newton Methods Based on the Spectral-Scaling Broyden Family for Riemannian Optimization Y Narushima, S Nakayama, M Takemura, H Yabe Journal of Optimization Theory and Applications 197 (2), 639-664, 2023 | 2 | 2023 |
| 無制約最適化問題に対するメモリーレス準ニュートン法について 成島康史， 中山舜民， 矢部博 応用数理 29 (4), 8-17, 2019 | 2 | 2019 |
| Proximal diagonal Newton methods for composite optimization problems S Yagishita, S Nakayama arXiv preprint arXiv:2310.06789, 2023 | 1 | 2023 |
| Inexact proximal DC Newton-type method for nonconvex composite functions S Nakayama, Y Narushima, H Yabe Computational Optimization and Applications, 1-30, 2023 | 1 | 2023 |
| 大規模無制約最適化問題に対する準ニュートン法と近接勾配法 中山舜民 オペレーションズ・リサーチ 65 (12), 650-655, 2020 | 1 | 2020 |
| Memoryless quasi-Newton methods for large-scale unconstrained optimization 中山舜民 | 1 | 2019 |
| An acceleration of proximal diagonal Newton method S Yagishita, S Nakayama JSIAM Letters 16, 5-8, 2024 | | 2024 |
| A proximal quasi-Newton method based on memoryless modified symmetric rank-one formula. Y Narushima, S Nakayama Journal of Industrial & Management Optimization 19 (6), 2023 | | 2023 |
| 2023 年春季研究発表会ルポ 白髪丈晴， 中山舜民 オペレーションズ・リサーチ= Communications of the Operations Research Society of …, 2023 | | 2023 |
Yasushi NarushimaKeio University確認したメール アドレス: ae.keio.ac.jp
