Abstract:
This article concerns the recovery of the operators by noisy information in the case that their norms are defined by integrals over infinite intervals. We study the conditions under which the dual extremal problem (often nonconvex) can be solved using the Lagrange function minimality condition.
Keywords:
optimal recovery, linear operator, extremal problem, Lagrange function.
The authors were supported by the Ministry for Education and Science of Russia (Project 1.962.2017/4.6),
the Peoples' Friendship University of Russia (Program 5-100), and the Russian Foundation for Basic Research
(Projects 17-51-52022; 18-01-00106; 17-51-12064). Lemmas 1 and 2 and Theorems 1 and 2 were obtained by the first author with the support of the Russian Science Foundation (Project 17-11-01168).
Citation:
A. V. Arutyunov, K. Yu. Osipenko, “Recovering linear operators and Lagrange function minimality condition”, Sibirsk. Mat. Zh., 59:1 (2018), 15–28; Siberian Math. J., 59:1 (2018), 11–21
This publication is cited in the following 2 articles:
Mikhail Ovchintsev, D. Rudoy, A.N. Altybaev, M. Petkovich, N. Miletic, “Optimal recovery of the derivate from the confined analytic function”, E3S Web Conf., 583 (2024), 07013
R. R. Akopyan, “Optimal recovery of a derivative of an analytic function from values of the function given with an error on a part of the boundary. II”, Anal. Math., 46:3 (2020), 409–424