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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)213-219
Number of pages7
JournalRussian Journal of Numerical Analysis and Mathematical Modelling
Volume37
Issue number4
DOIs
Publication statusPublished - 1 Aug 2022

Keywords

  • direct simulation
  • estimation over collisions
  • Henyey-Greenstein indicatrix
  • Laguerre polynomials
  • Monte Carlo method
  • projection estimator
  • root-mean-square error

OECD FOS+WOS

  • 1.01 MATHEMATICS

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