Goal-oriented Adaptivity

Goal-Oriented Adaptivity is an adaptive mesh refinement strategy that belongs to the class of error estimation techniques, distinguished by its focus on minimizing the error in a specific quantity of interest rather than in the global energy norm.

74

Publications

3.5K

Citations

166

Authors

96

Institutions

Publications per year

2017–2026

16

Authors

166

  1. DP
    David Pardo

    Ikerbasque, Spain

    8 publications · 150 citations

    8

    h-index

  2. LD
    Leszek Demkowicz

    The University of Texas at Austin, United States

    6 publications · 192 citations

    6

    h-index

  3. CC
    Christopher C. Pain

    Imperial College London, United Kingdom

    5 publications · 95 citations

    5

    h-index

  4. PN
    Paul N. Smith

    Australian National University, Australia

    3 publications · 62 citations

    3

    h-index

  5. JT
    J. Tinsley Oden

    The University of Texas at Austin, United States

    3 publications · 337 citations

    3

    h-index

1–5 of 166

Venues

  1. 14

    h-index

  2. Journal of Computational Physics

    7 publications · 567 citations

    7

    h-index

  3. Computers & Mathematics with Applications

    5 publications · 437 citations

    5

    h-index

  4. 5

    h-index

  5. Computational Mechanics

    3 publications · 39 citations

    3

    h-index

1–5