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A Lie-Group Adaptive Method for Imaging a Space-Dependent Rigidity Coefficient in an Inverse Scattering Problem of Wave Propagation

Chein-Shan Liu1

Department of Civil Engineering, National Taiwan University, Taipei, Taiwan. E-mail:ucs@ntu.edu.tw

Computers, Materials & Continua 2010, 18(1), 1-20. https://doi.org/10.3970/cmc.2010.018.001

Abstract

We are concerned with the reconstruction of an unknown space-dependent rigidity coefficient in a wave equation. This problem is known as one of the inverse scattering problems. Based on a two-point Lie-group equation we develop a Lie-group adaptive method (LGAM) to solve this inverse scattering problem through iterations, which possesses a special character that by using onlytwo boundary conditions and two initial conditions, as those used in the direct problem, we can effectively reconstruct the unknown rigidity function by aself-adaption between the local in time differential governing equation and the global in time algebraic Lie-group equation. The accuracy and efficiency of the present LGAM are assessed by comparing the imaged results with some postulated exact solutions. By means of LGAM, it is quite versatile to handle the wave inverse scattering problem for the image of the rigidity coefficient without needing any extra information from the wave motion.

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APA Style
Liu, C. (2010). A lie-group adaptive method for imaging a space-dependent rigidity coefficient in an inverse scattering problem of wave propagation. Computers, Materials & Continua, 18(1), 1-20. https://doi.org/10.3970/cmc.2010.018.001
Vancouver Style
Liu C. A lie-group adaptive method for imaging a space-dependent rigidity coefficient in an inverse scattering problem of wave propagation. Comput Mater Contin. 2010;18(1):1-20 https://doi.org/10.3970/cmc.2010.018.001
IEEE Style
C. Liu, “A Lie-Group Adaptive Method for Imaging a Space-Dependent Rigidity Coefficient in an Inverse Scattering Problem of Wave Propagation,” Comput. Mater. Contin., vol. 18, no. 1, pp. 1-20, 2010. https://doi.org/10.3970/cmc.2010.018.001



cc Copyright © 2010 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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