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A Lie-Group Adaptive Method to Identify the Radiative Coefficients in Parabolic Partial Differential Equations

Chein-Shan Liu1, Chih-Wen Chang2
Department of Civil Engineering, National Taiwan University, Taipei 10617, Taiwan
Grid Applied Technology Division, National Center for High-Performance Computing, Taichung 40763, Taiwan. Corresponding author, Tel.: +886-4-24620202x860. E-mail address: 0903040@nchc.narl.org.tw

Computers, Materials & Continua 2011, 25(2), 107-134. https://doi.org/10.3970/cmc.2011.025.107

Abstract

We consider two inverse problems for estimating radiative coefficients α(x) and α(x, y), respectively, in Tt(x, t) = Txx(x, t)-α(x)T(x, t), and Tt(x, y, t) = Txx(x, y, t) + Tyy(x, y, t)-α(x, y)T(x, y, t), where a are assumed to be continuous functions of space variables. A Lie-group adaptive method is developed, which can be used to find a at the spatially discretized points, where we only utilize the initial condition and boundary conditions, such as those for a typical direct problem. This point is quite different from other methods, which need the overspecified final time data. Three-fold advantages can be gained by the present Lie-group adaptive method (LGAM): (i) no a priori information of radiative coefficients is required, (ii) no extra data are measured, and (iii) no complicated procedure is involved. The accuracy and efficiency of present method are confirmed by comparing the estimated results with some exact solutions for 1-D and 2-D cases.

Keywords

Inverse problem, Parameter identification, Lie-group adaptive method (LGAM), Spatial-dependence radiative coefficient, Iterative method

Cite This Article

C. . Liu and C. . Chang, "A lie-group adaptive method to identify the radiative coefficients in parabolic partial differential equations," Computers, Materials & Continua, vol. 25, no.2, pp. 107–134, 2011.



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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