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Numerical differentiation of noisy data

✍ Scribed by M.R. Yeadon

Book ID
115958480
Publisher
Elsevier Science
Year
1989
Tongue
English
Weight
116 KB
Volume
22
Category
Article
ISSN
0021-9290

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πŸ“œ SIMILAR VOLUMES

Almost Optimal Differentiation Using Noi
Almost Optimal Differentiation Using Noisy Data
✍ Klaus Ritter πŸ“‚ Article πŸ“… 1996 πŸ› Elsevier Science 🌐 English βš– 561 KB

We study differentiation of functions f based on noisy data f (t i )+= i . We recover f (k) either at a single point or on the interval [0, 1] in L 2 -norm. Under stochastic assumptions on f and = i , we determine the order of the errors of the best linear methods which use n noisy function values.