Error Estimation For Nonlinear Problems

Error Estimation for Nonlinear Problems is a methodological framework within computational mathematics that quantifies the discrepancy between approximate and exact solutions in nonlinear systems, distinguished by its incorporation of nonlinearity-aware bounds and adaptive sensitivity analysis.

576

Publications

25.6K

Citations

1K

Authors

536

Institutions

Publications per year

2017–2026

101

Authors

1K

  1. ÉW
    Éric Walter

    Pacific Northwest National Laboratory, United States

    6 publications · 610 citations

    6

    h-index

  2. EC
    Eduardo Casas

    Universidad de Cantabria, Spain

    6 publications · 355 citations

    6

    h-index

  3. IK
    Ioannis K. Argyros

    Cameron University, United States

    5 publications · 115 citations

    5

    h-index

  4. RH
    Ricardo H. Nochetto

    University of Maryland, College Park, United States

    5 publications · 202 citations

    5

    h-index

  5. SM
    Siddhartha Mishra

    ETH Zurich, Switzerland

    5 publications · 428 citations

    5

    h-index

1–5 of 1K

Venues

  1. SIAM Journal on Numerical Analysis

    31 publications · 1.9K citations

    21

    h-index

  2. Journal of Computational and Applied Mathematics

    20 publications · 529 citations

    16

    h-index

  3. 16

    h-index

  4. Numerische Mathematik

    18 publications · 732 citations

    15

    h-index

  5. Numerical Algorithms

    12 publications · 435 citations

    12

    h-index

1–5