SOLVING AN INVERSE PROBLEM FOR A GENERALIZED TIME-DELAYED BURGERS-FISHER EQUATION BY HAAR WAVELET METHOD
Author(s) -
Saedeh Foadian,
Reza Pourgholi,
S. Hashem Tabasi,
Hamed Zeidabadi
Publication year - 2020
Publication title -
journal of applied analysis and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.55
H-Index - 21
eISSN - 2158-5644
pISSN - 2156-907X
DOI - 10.11948/20170028
Subject(s) - mathematics , tikhonov regularization , haar wavelet , wavelet , burgers' equation , mathematical analysis , rate of convergence , inverse , inverse problem , exponential function , robustness (evolution) , wavelet transform , partial differential equation , discrete wavelet transform , geometry , computer science , artificial intelligence , computer network , channel (broadcasting) , biochemistry , chemistry , gene
In this paper, a numerical method consists of combining Haar wavelet method and Tikhonov regularization method to determine unknown boundary condition and unknown nonlinear source term for the generalized time-delayed Burgers-Fisher equation using noisy data is presented. A stable numerical solution is determined for the problem. We also show that the rate of convergence of the method is as exponential $ \Bigl(O\left(\frac{1}{2^{J+1}}\right)\Bigr) $, where $ J $ is maximal level of resolution of wavelet. Some numerical results are reported to show the efficiency and robustness of the proposed approach for solving the inverse problems.
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