Polynomial Surrogates

Polynomial Surrogates is a mathematical approximation method that employs polynomial functions to model the input-output relationship of a complex system, enabling efficient propagation of uncertainty by replacing computationally intensive models with tractable algebraic representations.

90

Publications

5.4K

Citations

244

Authors

141

Institutions

Publications per year

2017–2026

35

Variants

Polynomial MetamodelsPolynomial Response Surfaces

Authors

244

  1. BS
    Bruno Sudret

    ETH Zurich, Switzerland

    7 publications · 625 citations

    7

    h-index

  2. RT
    Raphael T. Haftka

    University of Florida, United States

    3 publications · 101 citations

    3

    h-index

  3. YW
    Ye Wang

    Harbin Institute of Technology, China

    2 publications · 60 citations

    2

    h-index

  4. FV
    Felipe Viana

    University of Central Florida, United States

    2 publications · 62 citations

    2

    h-index

  5. LT
    Layne T. Watson

    Virginia Tech, United States

    2 publications · 42 citations

    2

    h-index

1–5 of 244

Venues

  1. 4

    h-index

  2. Journal of the American Statistical Association

    4 publications · 1.1K citations

    4

    h-index

  3. 3

    h-index

  4. SIAM Journal on Scientific Computing

    3 publications · 278 citations

    3

    h-index

  5. Engineering Computations

    2 publications · 33 citations

    2

    h-index

1–5