Localized Orthogonal Decomposition

Localized Orthogonal Decomposition is a numerical method in the field of multiscale finite element analysis that constructs a stable, problem-adapted basis through the orthogonal projection of fine-scale features onto a coarse-scale space with localized support, thereby enabling accurate and computationally efficient approximation of solutions to partial differential equations with multiscale data.

35

Publications

2.1K

Citations

65

Authors

46

Institutions

Publications per year

2017–2026

8

Authors

65

  1. AM
    Axel Målqvist

    Chalmers University of Technology, Sweden

    7 publications · 312 citations

    7

    h-index

  2. PH
    Patrick Henning

    KTH Royal Institute of Technology, Sweden

    6 publications · 333 citations

    6

    h-index

  3. DP
    Daniel Peterseim

    University of Augsburg, Germany

    5 publications · 195 citations

    5

    h-index

  4. FH
    Fredrik Hellman

    Uppsala University, Sweden

    3 publications · 49 citations

    3

    h-index

  5. DL
    Donald L. Brown

    King Abdullah University of Science and Technology, Saudi Arabia

    2 publications · 33 citations

    2

    h-index

1–5 of 65

Venues

  1. Multiscale Modeling and Simulation

    MMS · 3 publications · 57 citations

    3

    h-index

  2. SIAM Journal on Scientific Computing

    3 publications · 122 citations

    3

    h-index

  3. SIAM Journal on Numerical Analysis

    2 publications · 100 citations

    2

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5