Singularity-driven Adaptivity

Singularity-Driven Adaptivity is an adaptive mesh refinement strategy that dynamically refines computational grids in response to localized singularities or near-singularities in the solution field, distinguishing itself from other adaptivity methods by prioritizing resolution enhancement at points where solution regularity breaks down.

5

Publications

288

Citations

11

Authors

12

Institutions

Publications per year

2017–2026

0

Authors

11

  1. GW
    Grzegorz W. Wasilkowski

    University of Kentucky, United States

    2 publications · 39 citations

    2

    h-index

  2. LP
    Leszek Plaskota

    University of Warsaw, Poland

    2 publications · 39 citations

    2

    h-index

  3. SN
    Sundararajan Natarajan

    Indian Institute of Technology Madras, India

    1 publications · 204 citations

    1

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  4. CB
    Chris Budd

    University of Bath, United Kingdom

    1 publications · 23 citations

    1

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  5. SB
    Stéphane Bordas

    University of Luxembourg, Luxembourg

    1 publications · 204 citations

    1

    h-index

1–5 of 11

Venues

  1. Mathematics of Computation

    MCOM · 1 publications · 22 citations

    1

    h-index

  2. Journal of Engineering Mathematics

    1 publications · 23 citations

    1

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  3. 1

    h-index

  4. Journal of Mathematical Biology

    1 publications · 22 citations

    1

    h-index

  5. Journal of Fixed Point Theory and Applications

    JFPTA · 1 publications · 17 citations

    1

    h-index

1–5