Startseite Construction and optimization of numerically-statistical projection algorithms for solving integral equations
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Construction and optimization of numerically-statistical projection algorithms for solving integral equations

  • Anna S. Korda , Gennady A. Mikhailov EMAIL logo und Sergey V. Rogasinsky
Veröffentlicht/Copyright: 17. August 2022

Abstract

The problem of minimizing the root-mean-square error of the numerical-statistical projection estimation of the solution to an integral equation is solved. It is shown that the optimal estimator in this sense can be obtained by equalizing deterministic and stochastic components of the error in the case when the norm of the remainder of the utilized decomposition decreases inversely proportional to its length. As a test, the Milne problem of radiation transfer in a semi-infinite layer of matter is solved using Laguerre polynomials. To solve such a problem in the case of a finite layer, a special regularized projection algorithm is used.

MSC 2010: 65C05; 78M31

Funding statement: The work was supported by the State Task of ICM&MG SB RAS No. 0251–2021–0002.

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Received: 2022-01-28
Accepted: 2022-03-23
Published Online: 2022-08-17
Published in Print: 2022-08-26

© 2022 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 22.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/rnam-2022-0018/pdf
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