Matrix Exponentiation

Matrix Exponentiation is a computational technique within the divide-and-conquer paradigm that efficiently computes the power of a matrix by recursively decomposing the exponentiation process into smaller subproblems, leveraging the associative property of matrix multiplication to achieve logarithmic time complexity relative to the exponent.

135

Publications

14.3K

Citations

242

Authors

113

Institutions

Publications per year

2017–2026

28

Authors

242

  1. NJ
    Nicholas J. Higham

    University of Manchester, United Kingdom

    7 publications · 1.4K citations

    7

    h-index

  2. UZ
    Uri Zwick

    Tel Aviv University, Israel

    5 publications · 655 citations

    5

    h-index

  3. YT
    Yin Tat Lee

    University of Washington, United States

    5 publications · 359 citations

    5

    h-index

  4. DC
    Don Coppersmith

    IBM Research - Thomas J. Watson Research Center, United States

    4 publications · 3.2K citations

    4

    h-index

  5. RY
    Raphael Yuster

    University of Haifa, Israel

    4 publications · 175 citations

    4

    h-index

1–5 of 242

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 199 citations

    11

    h-index

  2. Linear Algebra and its Applications

    11 publications · 401 citations

    11

    h-index

  3. SIAM Journal on Matrix Analysis and Applications

    6 publications · 1.1K citations

    6

    h-index

  4. SIAM Journal on Computing

    5 publications · 637 citations

    5

    h-index

  5. SIAM Review

    3 publications · 243 citations

    3

    h-index

1–5