Tensor-product Surface Interpolation

Tensor-Product Surface Interpolation is a surface interpolation method that constructs a smooth surface over a rectangular grid by taking the tensor product of two univariate basis functions, thereby enabling the extension of one-dimensional interpolation schemes to two dimensions through separable parameterization.

11

Publications

353

Citations

23

Authors

13

Institutions

Publications per year

2017–2026

1

Authors

23

  1. RE
    Robert E. Barnhill

    University of Utah, United States

    2 publications · 76 citations

    2

    h-index

  2. XL
    Xiang Long

    Guangdong University of Technology, China

    1 publications · 45 citations

    1

    h-index

  3. LM
    Lizhuang Ma

    Shanghai Jiao Tong University, China

    1 publications · 33 citations

    1

    h-index

  4. SL
    Stanisław Lewanowicz

    University of Wrocław, Poland

    1 publications · 13 citations

    1

    h-index

  5. XZ
    Xiaoming Zeng

    Xiamen University, China

    1 publications · 45 citations

    1

    h-index

1–5 of 23

Venues

  1. Rocky Mountain Journal of Mathematics

    1 publications · 36 citations

    1

    h-index

  2. Mathematics

    1 publications · 30 citations

    1

    h-index

  3. 1

    h-index

  4. Applied Mathematics and Computation

    1 publications · 13 citations

    1

    h-index

  5. Advances in Computational Mathematics

    1 publications · 20 citations

    1

    h-index

1–5