Open Access
| Issue |
E3S Web Conf.
Volume 363, 2022
XV International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2022”
|
|
|---|---|---|
| Article Number | 01050 | |
| Number of page(s) | 9 | |
| Section | Sustainable Mobility and Logistics | |
| DOI | https://doi.org/10.1051/e3sconf/202236301050 | |
| Published online | 14 December 2022 | |
- A. I. Matasov, Guaranteed estimation method, Moscow University Press (2009) [Google Scholar]
- M. M. Zimin, Analysis of the trend of the parameters of a non-stationary random process, Natural and technical sciences. No. 10 (124), pp.229–232 (2018) [Google Scholar]
- A. V. Derevyankin, A. I. Matasov, Limiting accuracy of bench calibration of strapdown inertial navigation systems, Collection of proceedings of the XIX St. Petersburg International Conference on Integrated Navigation Systems, p. 107–109 (2012) [Google Scholar]
- V. N. Soloviev, On the optimality of linear algorithms in the problem of guaranteeing estimation under random measurement errors, Space research. Vol. 2, No. 2, P. 122–124 (1994) [Google Scholar]
- V. N. Soloviev, On the optimality of linear algorithms in the problem of guaranteeing estimation under random measurement errors, Space research. Vol. 2, No. 2, P. 122–124 (1994) [Google Scholar]
- A. A. Golovan, A. I. Matasov, Guaranteed approach for determining the optimal design of accelerometer unit calibration, Journal of Mathematical Sciences, Vol. 253. No. 6. P. 849–857 (2021) [CrossRef] [Google Scholar]
- S. Ya. Khavinson, Fundamentals of the theory of extremal problems for bounded analytic functions and their various generalizations, Moscow, V.V. Kuibyshev Publishing House MISI, p. 92 (1981) [Google Scholar]
- M. P. Ovchintsev, Mathematics, physics and computer modeling. Vol. 22. No. 4 (2019) [Google Scholar]
- M. P. Ovchintsev, E3S Web of Conferences, 164, 02013 (2020) doi: 10.1051/e3conf/202016402013 [CrossRef] [EDP Sciences] [Google Scholar]
- K.Yu. Osipenko, Mathematical notes 19(1), 29–40 (1976) [CrossRef] [Google Scholar]
- R. R. Akopyan, Approximations of Derivatives of Analytic Functions from One Hardy Class by Another Hardy Class, Proceedings of the Steklov Institute of Mathematics, 308: suppl. 1, 1–8 (2020) doi : 10.1134/S008543820020017 [CrossRef] [Google Scholar]
- R. R. Akopyan, Optimal Recovery of Analytic Functions from Boundary Conditions Specified with Error, Math. Notes, 99:2 177–182 (2016) doi: 10.1134/S000143461601020x [CrossRef] [Google Scholar]
- R. R. Akopyan, An analogue of the two- constans theorem and optimal recovery of analytic functions, Sb. Math., 210:10 1348–1360 (2019) doi: 10.1070/SM8952 [CrossRef] [Google Scholar]
- R. R. Akopyan, Optimal recovery of an analytic function in a doubly connected domain from its approximately given boundary values, Proccedings of the Steklov. Institute of Mathematics, 296: I 9, 13–18 (2017) [CrossRef] [Google Scholar]
- R. R. Akopyan, Optimal recovery of functions analytical in a half – plane, Proc. Steklov Inst. Math., 259:2, 1–11 (2007), doi: 10.1134/S0081543807060016 [Google Scholar]
- G. G. Magaril- Ilyaev, K.Yu. Osipenko, On best harmonic synthesis of periodic functions, J. Math. Sci., 209:1, 115–129 (2015) doi:10.1007/S10958-015-2489-z [CrossRef] [Google Scholar]
- G. G. Magaril-Ilyaev, K.Yu. Osipenko, On the best methods for recovering derivatives in Sobolev classes. Izv. Math., 78:6, 1138–1157 (2014) doi: 10.4213/im8182 [CrossRef] [Google Scholar]
- K.Yu. Osipenco, Optimal recovery of linear operators in non-Euclidean metrics, Sb. Math., 205:10, 1442–1472 (2014) doi: 10.4213/sm8330 [CrossRef] [Google Scholar]
- M. P. Ovchintsev, E3S Web of Conferences, 110, 01043 (2019) doi: 10.1051/e3sconf/201911001043 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
- K. Yu. Osipenko, The Hardy – Littlewood – Polya inequality for analytic functions in Hardy – Sobolev spaces, Sb. Math., 197:3, 315–334 (2006) doi: 10.4213/sm1537 [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.