Open AccessOptimal recovery of convolution of n-functions from various classes by linear information
Author(s) -
M.S. Gun'ko
Publication year - 2016
Publication title -
researches in mathematics
Language(s) - English
Resource type - Journals
eISSN - 2664-5009
pISSN - 2664-4991
DOI - 10.15421/241605
Subject(s) - convolution (computer science) , mathematics , regular polygon , convex function , pure mathematics , computer science , artificial intelligence , geometry , artificial neural network
We found the optimal information and the optimal method of its use to recover the convolution of n-functions on some convex and centrally-symmetric classes of $2\pi$-periodic functions.