Nobuo Yamashita

Nobuo Yamashita

Kyoto University

H-index: 28

Asia-Japan

About Nobuo Yamashita

Nobuo Yamashita, With an exceptional h-index of 28 and a recent h-index of 16 (since 2020), a distinguished researcher at Kyoto University, specializes in the field of mathematical optimization, large-scale optimization and its applications.

His recent articles reflect a diverse array of research interests and contributions to the field:

Duality of optimization problems with gauge functions

Advanced Mathematical Science for Mobility Society

Convergence properties of Levenberg–Marquardt methods with generalized regularization terms

Monotonicity for Multiobjective Accelerated Proximal Gradient Methods

Distributionally robust expected residual minimization for stochastic variational inequality problems

An equivalent nonlinear optimization model with triangular low-rank factorization for semidefinite programs

A dual active set method for 1-regularized problem

Convergence analysis and acceleration of the smoothing methods for solving extensive-form games

Nobuo Yamashita Information

University

Position

___

Citations(all)

3421

Citations(since 2020)

1147

Cited By

2734

hIndex(all)

28

hIndex(since 2020)

16

i10Index(all)

39

i10Index(since 2020)

24

Email

University Profile Page

Kyoto University

Google Scholar

View Google Scholar Profile

Nobuo Yamashita Skills & Research Interests

mathematical optimization

large-scale optimization and its applications

Top articles of Nobuo Yamashita

Title

Journal

Author(s)

Publication Date

Duality of optimization problems with gauge functions

Optimization

Shota Yamanaka

Nobuo Yamashita

2024/4/2

Advanced Mathematical Science for Mobility Society

Yoshiumi Kawamura

Kazuhisa Makino

Nobuo Yamashita

2024/3/14

Convergence properties of Levenberg–Marquardt methods with generalized regularization terms

Applied Mathematics and Computation

Shumpei Ariizumi

Yuya Yamakawa

Nobuo Yamashita

2024/2/15

Monotonicity for Multiobjective Accelerated Proximal Gradient Methods

Journal of the Operations Research Society of Japan

Yuki Nishimura

Ellen H Fukuda

Nobuo Yamashita

2024/1/31

Distributionally robust expected residual minimization for stochastic variational inequality problems

Optimization Methods and Software

Atsushi Hori

Yuya Yamakawa

Nobuo Yamashita

2023/2

An equivalent nonlinear optimization model with triangular low-rank factorization for semidefinite programs

Optimization Methods and Software

Yuya Yamakawa

Tetsuya Ikegami

Ellen H Fukuda

Nobuo Yamashita

2023/11/2

A dual active set method for 1-regularized problem

Journal of Industrial and Management Optimization

Yuya Hikima

Nobuo Yamashita

2023/11/1

Convergence analysis and acceleration of the smoothing methods for solving extensive-form games

arXiv preprint arXiv:2303.11046

Keigo Habara

Ellen Hidemi Fukuda

Nobuo Yamashita

2023/3/20

Convergence rates analysis of a multiobjective proximal gradient method

Optimization Letters

Hiroki Tanabe

Ellen H Fukuda

Nobuo Yamashita

2023/3

An accelerated proximal gradient method for multiobjective optimization

Computational Optimization and Applications

Hiroki Tanabe

Ellen H Fukuda

Nobuo Yamashita

2023/11

優先制約のある実行不可能な最適化問題に対する拡張ラグランジュ関数法

山中翔太, 山下信雄

2023

混合多項式最適化問題のコンパクトな MIP 表現

檀寛成, 山下信雄

2023/8/10

New merit functions for multiobjective optimization and their properties

Optimization

Hiroki Tanabe

Ellen H Fukuda

Nobuo Yamashita

2023/7/6

Two-stage distributionally robust noncooperative games: Existence of Nash equilibria and its application to Cournot–Nash competition

Journal of Industrial and Management Optimization

Atsushi Hori

Nobuo Yamashita

2022/11

A globally convergent fast iterative shrinkage-thresholding algorithm with a new momentum factor for single and multi-objective convex optimization

arXiv preprint arXiv:2205.05262

Hiroki Tanabe

Ellen H Fukuda

Nobuo Yamashita

2022/5/11

A regularized limited memory BFGS method for large-scale unconstrained optimization and its efficient implementations

Computational Optimization and Applications

Hardik Tankaria

Shinji Sugimoto

Nobuo Yamashita

2022/5

A stochastic variance reduced gradient using Barzilai-Borwein techniques as second order information

arXiv preprint arXiv:2208.11075

Hardik Tankaria

Nobuo Yamashita

2022/8/23

A proximal ADMM with the Broyden family for convex optimization problems

J. Ind. Manag. Optim

Yan Gu

Nobuo Yamashita

2021/8/31

An alternating direction method of multipliers with the BFGS update for structured convex quadratic optimization

Computational and Applied Mathematics

Yan Gu

Nobuo Yamashita

2021/4

連続最適化問題に対する陽に書ける双対問題とその活用事例

システム/制御/情報

山下信雄

2020/3/15

See List of Professors in Nobuo Yamashita University(Kyoto University)