Adaptive Weak Formulation

Adaptive Weak Formulation is a computational framework within the broader class of weak formulations that dynamically adjusts its variational structure and discretization parameters in response to local solution behavior to enhance accuracy and efficiency in solving partial differential equations.

246

Publications

11.2K

Citations

565

Authors

320

Institutions

Publications per year

2017–2026

55

Authors

565

  1. LD
    Leszek Demkowicz

    The University of Texas at Austin, United States

    5 publications · 778 citations

    5

    h-index

  2. JT
    J. Tinsley Oden

    The University of Texas at Austin, United States

    5 publications · 604 citations

    5

    h-index

  3. AS
    Anders Szepessy

    KTH Royal Institute of Technology, Sweden

    4 publications · 77 citations

    4

    h-index

  4. CS
    Christoph Schwab

    ETH Zurich, Switzerland

    4 publications · 369 citations

    4

    h-index

  5. RT
    Raúl Tempone

    King Abdullah University of Science and Technology, Saudi Arabia

    4 publications · 77 citations

    4

    h-index

1–5 of 565

Venues

  1. 26

    h-index

  2. Journal of Computational Physics

    41 publications · 2.4K citations

    26

    h-index

  3. Applied Numerical Mathematics

    17 publications · 907 citations

    16

    h-index

  4. Numerische Mathematik

    15 publications · 561 citations

    14

    h-index

  5. Journal of Computational and Applied Mathematics

    15 publications · 392 citations

    13

    h-index

1–5