Journal of the Operations Research Society of China ›› 2020, Vol. 8 ›› Issue (1): 29-43.doi: 10.1007/s40305-019-00280-x

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  • 收稿日期:2018-10-09 修回日期:2019-02-26 出版日期:2020-03-30 发布日期:2020-02-18
  • 通讯作者: Sheng-Long Hu, Yan Li, Jie Wang, Zheng-Hai Huang E-mail:shenglonghu@hdu.edu.cn;yanlee@tju.edu.cn;jiewang@cjlu.edu.cn;huangzhenghai@tju.edu.cn
  • 基金资助:
    This work was partially supported by the National Natural Science Foundation of China (Nos. 11431002, 11771328, 11871051), Young Elite Scientists Sponsorship Program by Tianjin, the Natural Science Foundation of Zhejiang Province (No. LD19A010002), and Innovation Research Foundation of Tianjin University (No. 2017XRG-0015).

An Introduction to the Computational Complexity of Matrix Multiplication

Yan Li1, Sheng-Long Hu2, Jie Wang3, Zheng-Hai Huang1   

  1. 1 School of Mathematics, Tianjin University, Tianjin 300350, China;
    2 Department of Mathematics, School of Science, Hangzhou Dianzi University, Hangzhou 310018, China;
    3 College of Science, China Jiliang University, Hangzhou 310018, China
  • Received:2018-10-09 Revised:2019-02-26 Online:2020-03-30 Published:2020-02-18
  • Contact: Sheng-Long Hu, Yan Li, Jie Wang, Zheng-Hai Huang E-mail:shenglonghu@hdu.edu.cn;yanlee@tju.edu.cn;jiewang@cjlu.edu.cn;huangzhenghai@tju.edu.cn

Abstract: This article introduces the approach on studying the computational complexity of matrix multiplication by ranks of the matrix multiplication tensors. Basic results and recent developments in this area are reviewed.

Key words: Matrix multiplication, Computational complexity, Tensor rank, Bilinear mapping, Border rank

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