Jacobian Derivation

Jacobian Derivation is a mathematical procedure that computes the Jacobian matrix by systematically applying partial derivatives to a vector-valued function, thereby capturing the local linear transformation of the function at a given point.

137

Publications

6.4K

Citations

289

Authors

166

Institutions

Publications per year

2017–2026

14

Authors

289

  1. IO
    Ingram Olkin

    Stanford University, United States

    4 publications · 350 citations

    4

    h-index

  2. CG
    Clément Gosselin

    Université Laval, Canada

    4 publications · 174 citations

    4

    h-index

  3. JE
    John E. McInroy

    University of Wyoming, United States

    3 publications · 55 citations

    3

    h-index

  4. YY
    Yong Yi

    University of Wyoming, United States

    3 publications · 55 citations

    3

    h-index

  5. GD
    G. D. Egbert

    Oregon State University, United States

    2 publications · 842 citations

    2

    h-index

1–5 of 289

Venues

  1. IEEE Transactions on Power Systems

    5 publications · 269 citations

    5

    h-index

  2. Journal of Mechanical Design

    3 publications · 494 citations

    3

    h-index

  3. IEEE Transactions on Robotics

    3 publications · 324 citations

    3

    h-index

  4. Journal of Computational Physics

    3 publications · 100 citations

    3

    h-index

  5. 3

    h-index

1–5