Conditioning Analysis

Conditioning Analysis is a mathematical framework within numerical analysis that assesses the sensitivity of a problem's solution to small changes in input data, distinguishing it from algorithmic convergence studies by focusing on the inherent stability properties of the problem rather than the behavior of specific numerical methods.

84

Publications

9.5K

Citations

152

Authors

87

Institutions

Publications per year

2017–2026

5

Variants

Problem Conditioning

Authors

152

  1. SS
    Shepard Siegel

    McMaster University, Canada

    15 publications · 1.1K citations

    12

    h-index

  2. JA
    Joseph A. Kim

    McMaster University, Canada

    3 publications · 92 citations

    3

    h-index

  3. DA
    David A. Belsley

    Boston College, United States

    3 publications · 953 citations

    3

    h-index

  4. RG
    Richard Goldstein

    Zoetis (United States), United States

    2 publications · 928 citations

    2

    h-index

  5. JM
    Joëlle Miffre

    City, University of London, United Kingdom

    2 publications · 82 citations

    2

    h-index

1–5 of 152

Venues

  1. 6

    h-index

  2. Technometrics

    3 publications · 971 citations

    3

    h-index

  3. Journal of the Operational Research Society

    OR · 2 publications · 197 citations

    2

    h-index

  4. 2

    h-index

  5. Behavioral Neuroscience

    2 publications · 22 citations

    2

    h-index

1–5