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J-GLOBAL ID:200901058380358944   Update date: Jun. 07, 2020

Yabe Hiroshi

ヤベ ヒロシ | Yabe Hiroshi
Affiliation and department:
Job title: Professor
Homepage URL  (1): http://www.mi.kagu.tus.ac.jp/yabe/
Research field  (2): Safety engineering ,  Social systems engineering
Research keywords  (1): Mathematical Programming, Optimization
Research theme for competitive and other funds  (1):
  • Study on Numerical Methods for Nonlinear Optimization
Papers (49):
  • Shummin Nakayama, Yasushi Narushima, Hiroshi Yabe. Memoryless quasi-Newton methods based on spectral-scaling Broyden family for unconstrained optimization. Journal of Industrial and Management Optimization. 2018
  • Shummin Nakayama, Yasushi Narushima, Hiroshi Yabe. A memoryless symmetric rank-one method with sufficient descent property for unconstrained optimization. Journal of the Operations Research Society of Japan. 2018. 61. 1. 53-70
  • Hiroshi Kobayashi, Yasushi Narushima, Hiroshi Yabe. Descent three-term conjugate gradient methods based on secant conditions for unconstrained optimization. OPTIMIZATION METHODS & SOFTWARE. 2017. 32. 6. 1313-1329
  • Yu Igarashi, Hiroshi Yabe. A PRIMAL-DUAL EXTERIOR POINT METHOD WITH A PRIMAL-DUAL QUADRATIC PENALTY FUNCTION FOR NONLINEAR OPTIMIZATION. PACIFIC JOURNAL OF OPTIMIZATION. 2015. 11. 4. 721-736
  • Yasushi Narushima, Hiroshi Yabe. A survey of sufficient descent conjugate gradient methods for unconstrained optimization. SUT Journal of Mathematics. 2015. 50. 2. 167-203
more...
MISC (18):
  • Shummin Nakayama, Yasushi Narushima, Hiroshi Yabe. Global convergence of inexact proximal memoryless spectral-scaling MBFGS method. 統計数理研究所共同研究リポート 420 「最適化:モデリングとアルゴリズム 31」. 2019. 420. 224-231
  • Shummin Nakayama, Yasushi Narushima, Hiroshi Yabe. Memoryless quasi-Newton methods based on Broyden family with sufficient descent property for unconstrained optimization. 統計数理研究所共同研究リポート 407 「最適化:モデリングとアルゴリズム 30」. 2018. 407. 108-123
  • Shummin Nakayama, Yasushi Narushima, Hiroshi Yabe. Global convergence of memoryless symmetric rank-one method for unconstrained optimization. 統計数理研究所共同研究リポート 387 「最適化:モデリングとアルゴリズム 29」. 2017. 387. 101-115
  • Hiroshi Kobayashi, Yasushi Narushima, Hiroshi Yabe. Descent three-term conjugate gradient methods based on secant conditions for unconstrained optimization. 統計数理研究所共同研究リポート 323 「最適化:モデリングとアルゴリズム 26」. 2014. 323. 122-143
  • A. Kato, Y. Narushima, H. Yabe. Inexact sequential quadratically constrained quadratic programming method for convex programming. 統計数理研究所共同研究リポート 267 「最適化:モデリングとアルゴリズム 24」. 2011. 267. 76-97
more...
Books (1):
  • Industrial Engineering, Management Science and Applications 2015
    Springer 2015 ISBN:9783662471999
Lectures and oral presentations  (17):
  • Inexact proximal memoryless quasi-Newton methods based on Broyden family for minimizing composite functions
    (International Conference on Continuous Optimization 2019 2019)
  • Inexact proximal memoryless spectral-scaling MBFGS method
    (23rd International Symposium on Mathematical Programming 2018)
  • Global convergence of memoryless quasi-Newton methods based on Broyden family for unconstrained optimization
    (SIAM Conference on Optimization 2017)
  • A memoryless sized symmetric rank-one method with sufficient descent property for unconstrained optimization
    (The Fifth International Conference on Continuous Optimization of the Mathematical Optimization Society 2016)
  • Inexact sequential quadratically constrained quadratic programming method of feasible directions with global and superlinear convergence properties
    (The Fifth International Conference on Continuous Optimization of the Mathematical Optimization Society 2016)
more...
Education (2):
  • - 1982 Tokyo University of Science Graduate School, Division of Natural Science Mathematics
  • - 1977 Tokyo University of Science Faculty of Science Applied Mathematics
Professional career (1):
  • Doctor of Science (Tokyo University of Science)
Work history (4):
  • 1995 - 2002 Tokyo University of Science Associate Professor
  • 2002 - Tokyo University of Science Professor
  • 1987 - 1995 Tokyo University of Science Lecturer
  • 1982 - 1987 Tokyo University of Science Research Assistant
Committee career (2):
  • 2001/04/01 - 2020/03/31 American Mathematical Society Reviewer of Mathematical Review
  • 2013/09/01 - 2016/08/31 Mathematical Optimization Society Organizing committee of The Fifth International Conference on Continuous Optimization of the Mathematical Optimization Society
Association Membership(s) (6):
The Japan Society for Industrial and Applied Mathematics ,  The Operations Research Society of Japan ,  The Operations Research Society of Japan ,  The Operations Resaerch Society of Japan ,  Mathematical Optimization Society ,  American Mathematical Society
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