Hierarchical Error Estimation

Hierarchical Error Estimation is an error estimation method that leverages a nested sequence of discretizations or model refinements to systematically assess and quantify the discrepancy between approximate solutions at different levels of resolution, thereby distinguishing itself from non-hierarchical estimation techniques by exploiting the structured, multi-level relationships inherent in the solution space.

38

Publications

1.6K

Citations

90

Authors

57

Institutions

Publications per year

2017–2026

7

Authors

90

  1. JS
    Jeffrey S. Ovall

    University of Zagreb, Croatia

    3 publications · 92 citations

    3

    h-index

  2. QZ
    Qingsong Zou

    Sun Yat-sen University, China

    3 publications · 62 citations

    3

    h-index

  3. RE
    Randolph E. Bank

    University of California San Diego, United States

    2 publications · 479 citations

    2

    h-index

  4. KU
    Karsten Urban

    Universität Ulm, Germany

    2 publications · 34 citations

    2

    h-index

  5. RK
    Ralf Kornhuber

    Freie Universität Berlin, Germany

    2 publications · 47 citations

    2

    h-index

1–5 of 90

Venues

  1. SIAM Journal on Numerical Analysis

    5 publications · 412 citations

    5

    h-index

  2. Numerische Mathematik

    3 publications · 150 citations

    3

    h-index

  3. 3

    h-index

  4. Mathematics of Computation

    MCOM · 2 publications · 60 citations

    2

    h-index

  5. 2

    h-index

1–5