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This article is cited in 15 scientific papers (total in 15 papers)
Optimal recovery of linear operators in non-Euclidean metrics
K. Yu. Osipenkoab a Moscow State Aviation Technological University, Moscow
b A. A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow
Abstract:
The paper looks at problems concerning the recovery of operators from noisy information in non-Euclidean metrics. A number of general theorems are proved and applied to recovery problems for functions and their derivatives from the noisy Fourier transform. In some cases, a family of optimal methods is found, from which the methods requiring the least amount of original information are singled out.
Bibliography: 25 titles.
Received: 17.01.2014 and 01.07.2014
Citation:
K. Yu. Osipenko, “Optimal recovery of linear operators in non-Euclidean metrics”, Mat. Sb., 205:10 (2014), 77–106; Sb. Math., 205:10 (2014), 1442–1472
Linking options:
https://www.mathnet.ru/eng/sm8330https://doi.org/10.1070/SM2014v205n10ABEH004425 https://www.mathnet.ru/eng/sm/v205/i10/p77
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Abstract page: | 549 | Russian version PDF: | 201 | English version PDF: | 9 | References: | 62 | First page: | 34 |
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