Preprints

Refereed Journal Papers

  1. T. Tomiyama, Y. Senuki, H. Kikuchi, S. Sun, T. Kitahara, and Y. Izunaga (2024):
    Analyzing the impact of promotional events for an E-commerce website: A state-space model approach. [Link]
    Bulletin of the Computational Statistics of Japan, Vol.37, pp.43--52.
  2. H. Kikuchi, K. Nagano, S. Sun, T. Kitahara, and Y. Izunaga (2023):
    Construction and analysis of user network of a childcare Q&A App. [Link]
    Bulletin of the Computational Statistics of Japan, Vol.36, pp.5--13.
  3. S. Takahashi, Y. Izunaga, and N. Watanabe (2022):
    An experimental study of VCG mechanism for multi-unit auctions: Competing with machine bidders. [Link]
    Evolutionary and Institutional Economics Review, Vol.19, pp.97--117.
    A preliminary version is available on RISS Discussion Paper Series. [Link]
  4. Y. Izunaga, T. Matsui, and Y. Yamamoto (2020):
    A doubly nonnegative relaxation for modularity density maximization. [Link]
    Discrete Applied Mathematics, Vol.275, pp.69--78.
    A preliminary version is available on Optimization Online. [Link]
  5. S. Takahashi, Y. Izunaga, and N. Watanabe (2019):
    VCG mechanism for multi-unit auctions and appearance of information: An experiment. [Link]
    Evolutionary and Institutional Economics Review, Vol.16, No.2, pp.357--374.
    A preliminary version is available on RISS Discussion Paper Series. [Link]
  6. K. Sato and Y. Izunaga (2019):
    An enhanced MILP-based branch-and-price approach to modularity density maximization on graphs. [Link]
    Computers & Operations Research, Vol.106, pp.236--245.
    A preliminary version, entitled A branch-and-price approach with MILP formulation to modularity density maximization on graphs, is available on arXiv. [Link]
  7. S. Takahashi, Y. Izunaga, and N. Watanabe (2018):
    An approximation algorithm for multi-unit auctions: Numerical and subject experiments. [Link]
    Operations Research and Decisions, Vol.28, No.1, pp.95--115.
    A preliminary version is available on RISS Discussion Paper Series. [Link]
  8. Y. Izunaga and Y. Yamamoto (2017):
    A cutting plane algorithm for modularity maximization problem. [Link]
    Journal of the Operations Research Society of Japan, Vol.60, No.1, pp.24--42.
  9. Y. Izunaga, K. Sato, K. Tatsumi, and Y. Yamamoto (2015):
    Row and column generation algorithms for minimum margin maximization of ranking problems. [Link]
    Journal of the Operations Research Society of Japan, Vol.58, No.4, pp.394--409.

Refereed Conference Proceedings

  1. Y. Izunaga, S. Takahashi, and N. Watanabe (2022):
    A subject experiment of an approximate DGS algorithm: Price increment, allocative efficiency, and seller's revenue. [Link]
    Proceedings of 2022 IEEE International Conference on Big Data.
  2. Y. Izunaga, K. Sato, K. Tatsumi, and Y. Yamamoto (2016):
    Row and column generation algorithm for maximization of minimum margin for ranking problems. [Link]
    Operations Research Proceedings 2014, pp.249--255.
  3. K. Inaba, Y. Izunaga, and Y. Yamamoto (2016):
    A Lagrangian relaxation algorithm for modularity maximization problem. [Link]
    Operations Research Proceedings 2014, pp.241--247.

Other Papers

  1. Y. Izunaga and K. Sato (2018):
    A bounding algorithm for selective graph coloring problem. [Link]
    RIMS Kokyuroku, Vol.2069, pp.84--94.
  2. Y. Izunaga, T. Matsui, and Y. Yamamoto (2016):
    A doubly nonnegative relaxation for modularity density maximization. [Link]
    RIMS Kokyuroku, Vol.1981, pp.84--97.
  3. Y. Izunaga, K. Sato, K. Tatsumi, and Y. Yamamoto (2015):
    Row and column generation algorithm for maximization of minimum margin for ranking problems. [Link]
    RIMS Kokyuroku, Vol.1931, pp.18--30.