Jacobian Approximation

Jacobian Approximation is a numerical method used in root-finding algorithms to estimate the Jacobian matrix of a multivariate vector-valued function when exact derivatives are unavailable or computationally prohibitive, typically by finite-difference or secant-based techniques.

200

Publications

11.8K

Citations

413

Authors

218

Institutions

Publications per year

2017–2026

30

Authors

413

  1. MY
    Mohammed Yusuf Waziri

    Bayero University Kano, Nigeria

    9 publications · 141 citations

    9

    h-index

  2. KT
    Krzysztof Tchoń

    Wrocław University of Science and Technology, Poland

    5 publications · 86 citations

    5

    h-index

  3. AG
    Andreas Griewank

    Humboldt-Universität zu Berlin, Germany

    4 publications · 916 citations

    4

    h-index

  4. TF
    Toshio Fukushima

    National Astronomical Observatory of Japan, Japan

    3 publications · 71 citations

    3

    h-index

  5. JE
    J. E. Dennis

    Rice University, United States

    3 publications · 252 citations

    3

    h-index

1–5 of 413

Venues

  1. SIAM Journal on Numerical Analysis

    13 publications · 684 citations

    13

    h-index

  2. Mathematics of Computation

    MCOM · 10 publications · 993 citations

    10

    h-index

  3. arXiv (Cornell University)

    Repository · 6 publications · 122 citations

    6

    h-index

  4. Optimization methods & software

    6 publications · 188 citations

    6

    h-index

  5. ACM Transactions on Mathematical Software

    TOMS · 5 publications · 897 citations

    5

    h-index

1–5