Inexact proximal memoryless quasi-Newton methods based on the Broyden family for minimizing composite functions. - Shummin Nakayama; Yasushi Narushima; Hiroshi Yabe (Comput. Optim. Appl., 2021)

On the superiority of PGMs to PDCAs in nonsmooth nonconvex sparse regression. - Shummin Nakayama; Jun-ya Gotoh (Optim. Lett., 2021)

Memoryless Quasi-Newton Methods Based on the Spectral-Scaling Broyden Family for Riemannian Optimization. - Yasushi Narushima; Shummin Nakayama; Masashi Takemura; Hiroshi Yabe (J. Optim. Theory Appl., 2023)

An acceleration of proximal diagonal Newton method. - Shotaro Yagishita; Shummin Nakayama (JSIAM Lett., 2024)

Inexact proximal DC Newton-type method for nonconvex composite functions. - Shummin Nakayama; Yasushi Narushima; Hiroshi Yabe (Comput. Optim. Appl., 2024)