On the optimal reconstruction of the convolution of n functions according to the linear information

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Bibliographic Details
Date:2016
Main Authors: V. F. Babenko, M. S. Gunko
Format: Article
Language:English
Published: 2016
Series:Ukrainian Mathematical Journal
Online Access:http://jnas.nbuv.gov.ua/article/UJRN-0000784761
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Journal Title:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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author V. F. Babenko
M. S. Gunko
author_facet V. F. Babenko
M. S. Gunko
author_sort V. F. Babenko
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
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publishDate 2016
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series Ukrainian Mathematical Journal
spelling open-sciencenbuvgovua-534362024-02-29T13:11:42Z On the optimal reconstruction of the convolution of n functions according to the linear information V. F. Babenko M. S. Gunko 1027-3190 2016 en Ukrainian Mathematical Journal http://jnas.nbuv.gov.ua/article/UJRN-0000784761 Article
spellingShingle Ukrainian Mathematical Journal
V. F. Babenko
M. S. Gunko
On the optimal reconstruction of the convolution of n functions according to the linear information
title On the optimal reconstruction of the convolution of n functions according to the linear information
title_full On the optimal reconstruction of the convolution of n functions according to the linear information
title_fullStr On the optimal reconstruction of the convolution of n functions according to the linear information
title_full_unstemmed On the optimal reconstruction of the convolution of n functions according to the linear information
title_short On the optimal reconstruction of the convolution of n functions according to the linear information
title_sort on the optimal reconstruction of the convolution of n functions according to the linear information
url http://jnas.nbuv.gov.ua/article/UJRN-0000784761
work_keys_str_mv AT vfbabenko ontheoptimalreconstructionoftheconvolutionofnfunctionsaccordingtothelinearinformation
AT msgunko ontheoptimalreconstructionoftheconvolutionofnfunctionsaccordingtothelinearinformation