Galerkin Discretization

Galerkin Discretization is a numerical method in the field of integral equation formulations that employs a variational framework to project the continuous problem onto a finite-dimensional subspace spanned by basis functions, enforcing orthogonality of the residual with respect to the test functions identical to the trial functions.

6K

Publications

318.4K

Citations

8.2K

Authors

2.1K

Institutions

Publications per year

2017–2026

1.4K

Authors

8.2K

  1. CS
    Chi‐Wang Shu

    Brown University, United States

    125 publications · 16.1K citations

    54

    h-index

  2. BC
    Bernardo Cockburn

    University of Minnesota, United States

    75 publications · 17.4K citations

    48

    h-index

  3. YC
    Yumin Cheng

    Shanghai University, China

    40 publications · 2.6K citations

    34

    h-index

  4. MD
    Mehdi Dehghan

    Amirkabir University of Technology, Iran

    43 publications · 2K citations

    32

    h-index

  5. TB
    Ted Belytschko

    Northwestern University, United States

    34 publications · 12.9K citations

    31

    h-index

1–5 of 8.2K

Venues

  1. SIAM Journal on Numerical Analysis

    365 publications · 36K citations

    91

    h-index

  2. Journal of Computational Physics

    418 publications · 31.1K citations

    85

    h-index

  3. 73

    h-index

  4. 69

    h-index

  5. Mathematics of Computation

    MCOM · 197 publications · 16.4K citations

    64

    h-index

1–5