Grid Coarsening

Grid Coarsening is a grid adaptation technique that reduces the resolution of a computational grid by removing or aggregating nodes or cells, thereby decreasing problem complexity while preserving essential domain features.

94

Publications

4.4K

Citations

207

Authors

113

Institutions

Publications per year

2017–2026

15

Authors

207

  1. PS
    Panayot S. Vassilevski

    Lawrence Livermore National Laboratory, United States

    5 publications · 344 citations

    5

    h-index

  2. RD
    Robert D. Falgout

    Lawrence Livermore National Laboratory, United States

    4 publications · 288 citations

    4

    h-index

  3. MG
    Michael Griebel

    University of Bonn, Germany

    3 publications · 185 citations

    3

    h-index

  4. HT
    Henry T. Y. Yang

    Purdue University West Lafayette, United States

    3 publications · 237 citations

    3

    h-index

  5. RD
    Russ D. Rausch

    Langley Research Center, United States

    3 publications · 237 citations

    3

    h-index

1–5 of 207

Venues

  1. SIAM Journal on Scientific Computing

    8 publications · 622 citations

    8

    h-index

  2. Numerical Linear Algebra with Applications

    8 publications · 311 citations

    8

    h-index

  3. Applied Numerical Mathematics

    4 publications · 90 citations

    4

    h-index

  4. Journal of Computational Physics

    4 publications · 248 citations

    4

    h-index

  5. 4

    h-index

1–5