Preprints

1. M. Toyoda, A. Nishioka and M. Tanaka. A unified Euler–Lagrange system for analyzing continuous-time accelerated gradient methods. arXiv:2404.03383. https://arxiv.org/abs/2404.03883
2. A. Nishioka and Y. Kanno. A feasible smoothing accelerated projected gradient method for nonsmooth convex optimization. arXiv:2312.07050. https://arxiv.org/abs/2312.07050
3. M. Toyoda, A. Nishioka and M. Tanaka. Convergence rate analysis of continuous- and discrete-time smoothing gradient algorithms. arXiv:2312.04192. https://arxiv.org/abs/2312.04192
4. A. Nishioka, M. Toyoda, M. Tanaka and Y. Kanno. On a minimization problem of the maximum generalized eigenvalue: properties and algorithms. arXiv:2312.01603. https://arxiv.org/abs/2312.01603

Papers

1. A. Nishioka and Y. Kanno. Smoothing inertial method for worst-case robust topology optimization under load uncertainty, Structural and Multidisciplinary Optimization, vol. 66 (2023), no. 82. https://doi.org/10.1007/s00158-023-03543-7
2. A. Nishioka and Y. Kanno. Inertial projected gradient method for large-scale topology optimization, Japan Journal of Industrial and Applied Mathematics, vol. 40 (2023), pp. 877–905. https://doi.org/10.1007/s13160-023-00563-0
3. A. Nishioka and Y. Kanno. Accelerated projected gradient method with adaptive step size for compliance minimization problem, JSIAM Letters, vol. 13 (2021), pp. 33-36. https://doi.org/10.14495/jsiaml.13.33