Multidimensional Root Finding

Multidimensional Root Finding is a numerical method for determining the set of values at which a system of multivariate functions simultaneously evaluates to zero, distinguished from univariate root finding by its requirement to solve multiple interdependent equations in higher-dimensional spaces.

17

Publications

470

Citations

43

Authors

27

Institutions

Publications per year

2017–2026

3

Authors

43

  1. JC
    Jití Cˇízˇek

    University of Waterloo, Canada

    1 publications · 20 citations

    1

    h-index

  2. MW
    Mark W. Coffey

    Colorado School of Mines, United States

    1 publications · 18 citations

    1

    h-index

  3. SS
    Shahrokh Shahpar

    Rolls-Royce (United Kingdom), United Kingdom

    1 publications · 13 citations

    1

    h-index

  4. GM
    Gustavo Mendes Platt

    Universidade do Estado do Rio de Janeiro, Brazil

    1 publications · 30 citations

    1

    h-index

  5. JM
    J. M. Greene

    Princeton Plasma Physics Laboratory, United States

    1 publications · 76 citations

    1

    h-index

1–5 of 43

Venues

  1. Journal of Computational Physics

    1 publications · 76 citations

    1

    h-index

  2. 1

    h-index

  3. The Journal of Chemical Physics

    1 publications · 44 citations

    1

    h-index

  4. Journal of Tribology

    1 publications · 13 citations

    1

    h-index

  5. Numerical Algorithms

    1 publications · 11 citations

    1

    h-index

1–5