Multivariate Splines

Multivariate Splines is a mathematical construct in approximation theory that generalizes univariate spline functions to multiple variables by defining piecewise polynomial functions over partitioned domains in higher-dimensional spaces, distinguished by their ability to maintain smoothness across boundaries in multivariate settings.

722

Publications

45K

Citations

1.5K

Authors

756

Institutions

Publications per year

2017–2026

208

Authors

1.5K

  1. LL
    Larry L. Schumaker

    Vanderbilt University, United States

    20 publications · 961 citations

    16

    h-index

  2. WZ
    Wengang Zhang

    Chongqing University, China

    14 publications · 2.5K citations

    14

    h-index

  3. AT
    Anthony T.C. Goh

    Nanyang Technological University, Singapore

    12 publications · 2.1K citations

    12

    h-index

  4. WD
    Wolfgang Dahmen

    RWTH Aachen University, Germany

    12 publications · 958 citations

    11

    h-index

  5. CA
    Charles A. Micchelli

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

    12 publications · 920 citations

    11

    h-index

1–5 of 1.5K

Venues

  1. Journal of Approximation Theory

    38 publications · 1.3K citations

    18

    h-index

  2. Computer Aided Geometric Design

    15 publications · 450 citations

    15

    h-index

  3. Journal of Computational and Applied Mathematics

    18 publications · 435 citations

    14

    h-index

  4. SIAM Journal on Numerical Analysis

    15 publications · 997 citations

    14

    h-index

  5. The Annals of Statistics

    13 publications · 9.7K citations

    13

    h-index

1–5