Akatsuki Nishioka

Akatsuki Nishioka

Ph.D. student at The University of Tokyo

Preprints

  1. A. Nishioka and Y. Kanno. Variational analysis of unbounded and discontinuous generalized eigenvalue functions with application to topology optimization. arXiv:2405.04805. https://arxiv.org/abs/2405.04805
  2. 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
  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

Papers

  1. A. Nishioka, M. Toyoda, M. Tanaka and Y. Kanno. On a minimization problem of the maximum generalized eigenvalue: properties and algorithms. Computational Optimization and Applications (2024). https://doi.org/10.1007/s10589-024-00621-4
  2. A. Nishioka and Y. Kanno. A feasible smoothing accelerated projected gradient method for nonsmooth convex optimization. Operations Research Letters, vol. 57 (2024), 107181.https://doi.org/10.1016/j.orl.2024.107181
  3. 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
  4. 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
  5. 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