Multivariate Polynomial Interpolation

Multivariate Polynomial Interpolation is a mathematical method in computational algebra that constructs a multivariate polynomial passing exactly through a given set of multidimensional data points, distinguished from univariate or piecewise interpolation techniques by its simultaneous dependence on multiple variables and global polynomial structure.

124

Publications

5.9K

Citations

191

Authors

140

Institutions

Publications per year

2017–2026

11

Authors

191

  1. CD
    Carl de Boor

    University of Wisconsin–Madison, United States

    6 publications · 470 citations

    6

    h-index

  2. AR
    Amos Ron

    University of Wisconsin–Madison, United States

    5 publications · 463 citations

    5

    h-index

  3. TS
    Thomas Sauer

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    5 publications · 299 citations

    5

    h-index

  4. WL
    Wen-shin Lee

    University of Antwerp, Belgium

    4 publications · 167 citations

    4

    h-index

  5. EK
    Erich Kaltofen

    North Carolina State University, United States

    4 publications · 115 citations

    4

    h-index

1–5 of 191

Venues

  1. Constructive Approximation

    6 publications · 459 citations

    6

    h-index

  2. Journal of Symbolic Computation

    5 publications · 328 citations

    5

    h-index

  3. Mathematics of Computation

    MCOM · 5 publications · 282 citations

    5

    h-index

  4. 4

    h-index

  5. SIAM Journal on Numerical Analysis

    4 publications · 111 citations

    4

    h-index

1–5