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Numerical solution of an inverse problem of coefficient recovering for a wave equation by a stochastic projection methods.

Authors :
Kabanikhin, Sergey I.
Sabelfeld, Karl K.
Novikov, Nikita S.
Shishlenin, Maxim A.
Source :
Monte Carlo Methods & Applications. Sep2015, Vol. 21 Issue 3, p189-203. 15p. 9 Graphs.
Publication Year :
2015

Abstract

An inverse problem of reconstructing the two-dimensional coefficient of thewave equation is solved by a stochastic projection method. We apply the Gel'fand-Levitan approach to reduce the nonlinear inverse problem to a family of linear integral equations. The stochastic projection method is applied to solve the relevant linear system. We analyze the structure of the problem to increase the efficiency of the method by constructing an improved initial approximation. A smoothing spline is used to treat the random errors of the method. The method has low cost andmemory requirements. Results of numerical calculations are presented. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09299629
Volume :
21
Issue :
3
Database :
Academic Search Index
Journal :
Monte Carlo Methods & Applications
Publication Type :
Academic Journal
Accession number :
109347298
Full Text :
https://doi.org/10.1515/mcma-2015-0103