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Fingerprint Dive into the research topics where Yasushi Narushima is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Unconstrained Optimization Mathematics
Conjugate Gradient Method Mathematics
Conjugate gradient method Engineering & Materials Science
Descent Mathematics
Chord or secant line Mathematics
Global Convergence Mathematics
Newton-Raphson method Engineering & Materials Science
Second-order Cone Mathematics

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Research Output 2006 2019

  • 269 Citations
  • 9 h-Index
  • 23 Article
  • 1 Conference contribution
1 Citation (Scopus)

Memoryless quasi-newton methods based on spectral-scaling broyden family for unconstrained optimization

Nakayama, S., Narushima, Y. & Yabe, H., 2019 Jan 1, In : Journal of Industrial and Management Optimization. 15, 4, p. 1773-1793 21 p.

Research output: Contribution to journalArticle

Open Access
Quasi-Newton Method
Unconstrained Optimization
Newton-Raphson method
Scaling
Conjugate gradient method

Robust supply chain network equilibrium model

Hirano, T. & Narushima, Y., 2019 Jan 1, In : Transportation Science. 53, 4, p. 1196-1212 17 p.

Research output: Contribution to journalArticle

equilibrium model
Supply chains
supply
uncertainty
Management science
3 Citations (Scopus)

A memoryless symmetric rank-one method with sufficient descent property for unconstrained optimization

Nakayama, S., Narushima, Y. & Yabe, H., 2018 Jan 1, In : Journal of the Operations Research Society of Japan. 61, 1, p. 53-70 18 p.

Research output: Contribution to journalArticle

Open Access
Optimization problem
Scaling
Objective function
Large-scale optimization

Descent three-term conjugate gradient methods based on secant conditions for unconstrained optimization

Kobayashi, H., Narushima, Y. & Yabe, H., 2017 Nov 2, In : Optimization Methods and Software. 32, 6, p. 1313-1329 17 p.

Research output: Contribution to journalArticle

Conjugate gradient method
Unconstrained Optimization
Conjugate Gradient Method
Chord or secant line
Descent

Economic Experiments in YBG: The Case of Manufacturing Industry Game

Narushima, Y., 2017 Nov 15, Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017. Hashimoto, K., Fukuta, N., Matsuo, T., Hirokawa, S., Mori, M. & Mori, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 937-940 4 p. 8113378. (Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Economics
Industry
Experiments
Game theory
Business game