Approximation Error

Approximation Error is the error attributable to the discrepancy between the true underlying function and the closest representable function within a prescribed hypothesis space, arising from model assumptions or structural limitations that prevent perfect fit to the target function.

2.6K

Publications

155.3K

Citations

5.3K

Authors

1.6K

Institutions

Publications per year

2017–2026

670

Authors

5.3K

  1. JP
    Jari P. Kaipio

    University of Eastern Finland, Finland

    26 publications · 1.3K citations

    17

    h-index

  2. VK
    Ville Kolehmainen

    University of Eastern Finland, Finland

    17 publications · 915 citations

    15

    h-index

  3. CL
    Chih‐Min Lin

    Yuan Ze University, Taiwan

    12 publications · 710 citations

    12

    h-index

  4. EC
    Eduardo Casas

    Universidad de Cantabria, Spain

    14 publications · 740 citations

    12

    h-index

  5. MU
    Michaël Unser

    École Polytechnique Fédérale de Lausanne, Switzerland

    12 publications · 2.6K citations

    12

    h-index

1–5 of 5.3K

Venues

  1. SIAM Journal on Numerical Analysis

    80 publications · 4.1K citations

    35

    h-index

  2. Mathematics of Computation

    MCOM · 65 publications · 3.7K citations

    31

    h-index

  3. arXiv (Cornell University)

    Repository · 128 publications · 5.8K citations

    29

    h-index

  4. IEEE Transactions on Signal Processing

    44 publications · 2.3K citations

    26

    h-index

  5. IEEE Transactions on Neural Networks

    27 publications · 5.2K citations

    25

    h-index

1–5