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
Parents
84
Autoregressive Conditional Density Estimation
Bruce E. Hansen · International Economic Review · 1994 · 1.6K citations
Conditioning and Associative Learning
Winfred F. Hill, N. J. Mackintosh · The American Journal of Psychology · 1984 · 1.3K citations
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87

McMaster University
Hamilton, Canada
9 h-index
10 publications
800 citations
Université Libre de Bruxelles
Brussels, Belgium
4 h-index
7 publications
2.2K citations
University of Wisconsin–Madison
Madison, United States
3 h-index
6 publications
1.3K citations
Nagoya University
Nagoya, Japan
2 h-index
7 publications
195 citations
University of Bari Aldo Moro
Bari, Italy
2 h-index
3 publications
73 citations
University of Newcastle Australia
Newcastle, Australia
2 h-index
2 publications
26 citations
University of Iowa
Iowa City, United States
2 h-index
5 publications
198 citations
Qualis Health
Seattle, United States
2 h-index
2 publications
928 citations
1–8 of 87
6 publications · 708 citations
6
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3 publications · 971 citations
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OR · 2 publications · 197 citations
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2 publications · 52 citations
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2 publications · 22 citations
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