Linear Error Propagation is a method for estimating the uncertainty in a function's output by approximating the function with its first-order Taylor expansion and propagating the input errors through this linearized model.
38
Publications
1.4K
Citations
80
Authors
52
Institutions
Publications per year
2017–2026
11
Parents
Publications
38
1–5 of 38
Authors
80
- DC
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1–5 of 80
Institutions
52
Arizona State University
Tempe, United States
2 h-index
2 publications
46 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
36 citations
Direction Générale de l'Armement
Paris, France
2 h-index
2 publications
56 citations
Intelligent Fusion Technology (United States)
Germantown, United States
2 h-index
3 publications
73 citations
Johannes Gutenberg University Mainz
Mainz, Germany
2 h-index
2 publications
59 citations
Swiss Federal Institute of Metrology
Bern, Switzerland
2 h-index
4 publications
250 citations
Université de Versailles Saint-Quentin-en-Yvelines
Versailles, France
2 h-index
2 publications
56 citations
Karolinska Institutet
Stockholm, Sweden
1 h-index
2 publications
22 citations
1–8 of 52
Venues
- Numerische Mathematik
2 publications · 57 citations
2
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- Transactions of the American Mathematical Society
TRAN · 2 publications · 36 citations
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- IFAC Proceedings Volumes
2 publications · 30 citations
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- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
1 publications · 21 citations
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- IEEE Transactions on Vehicular Technology
1 publications · 97 citations
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