Coarse Space Construction

Coarse Space Construction is a methodological framework within multiscale finite element methods that systematically generates a reduced-dimensional approximation space by capturing essential fine-scale features through appropriately defined basis functions, thereby enabling accurate and efficient solution of partial differential equations on coarse computational grids.

78

Publications

3.7K

Citations

107

Authors

73

Institutions

Publications per year

2017–2026

20

Authors

107

  1. AK
    Axel Klawonn

    University of Duisburg-Essen, Germany

    12 publications · 402 citations

    10

    h-index

  2. AH
    Alexander Heinlein

    University of Cologne, Germany

    8 publications · 233 citations

    8

    h-index

  3. VD
    Victorita Dolean

    Centre National de la Recherche Scientifique, France

    10 publications · 860 citations

    8

    h-index

  4. OR
    Oliver Rheinbach

    University of Duisburg-Essen, Germany

    8 publications · 292 citations

    8

    h-index

  5. PS
    Panayot S. Vassilevski

    Lawrence Livermore National Laboratory, United States

    8 publications · 195 citations

    8

    h-index

1–5 of 107

Venues

  1. SIAM Journal on Scientific Computing

    16 publications · 533 citations

    14

    h-index

  2. Numerical Linear Algebra with Applications

    5 publications · 256 citations

    5

    h-index

  3. SIAM Journal on Numerical Analysis

    4 publications · 253 citations

    4

    h-index

  4. 3

    h-index

  5. Compositio Mathematica

    3 publications · 85 citations

    3

    h-index

1–5