Parametric Form Finding

Parametric Form Finding is a computational design methodology within algorithmic form generation that systematically produces architectural or engineering forms through the manipulation of parametric relationships and constraints, distinguished by its reliance on adjustable parameters and algorithmic rules to explore and optimize geometric configurations.

29

Publications

1.4K

Citations

63

Authors

45

Institutions

Publications per year

2017–2026

4

Variants

Parametric Form Generation

Authors

63

  1. HD
    Holger Dette

    Ruhr University Bochum, Germany

    3 publications · 101 citations

    3

    h-index

  2. SL
    Stephen L. Durden

    Jet Propulsion Laboratory, United States

    2 publications · 181 citations

    2

    h-index

  3. ZS
    Ziad S. Haddad

    Jet Propulsion Laboratory, United States

    2 publications · 181 citations

    2

    h-index

  4. EI
    E. Im

    Jet Propulsion Laboratory, United States

    2 publications · 181 citations

    2

    h-index

  5. FE
    Frank E. Harris

    University of Utah, United States

    2 publications · 169 citations

    2

    h-index

1–5 of 63

Venues

  1. ACADIA quarterly

    1 publications · 17 citations

    1

    h-index

  2. IEEE Transactions on Neural Networks

    1 publications · 18 citations

    1

    h-index

  3. Applied Mathematics and Computation

    1 publications · 72 citations

    1

    h-index

  4. Journal of Econometrics

    1 publications · 39 citations

    1

    h-index

  5. The Journal of Chemical Physics

    1 publications · 128 citations

    1

    h-index

1–5