Shummin Nakayama

According to our database, Shummin Nakayama authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Inexact proximal DC Newton-type method for nonconvex composite functions.

Shummin Nakayama, Yasushi Narushima, Hiroshi Yabe

Comput. Optim. Appl., March, 2024

An acceleration of proximal diagonal Newton method.

Shotaro Yagishita, Shummin Nakayama

JSIAM Lett., 2024

2023

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., May, 2023

2021

On the superiority of PGMs to PDCAs in nonsmooth nonconvex sparse regression.

Shummin Nakayama, Jun-ya Gotoh

Optim. Lett., 2021

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