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An inverse problem of finding the time-dependent thermal conductivity from boundary data
Affiliation:1. Department of Applied Mathematics, University of Leeds, Leeds LS2 9JT, UK;2. Department of Mathematics, Faculty of Science, Jazan University, P.O. Box 114, Jazan 45142, Saudi Arabia;1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Mechanics and Materials, Hohai University, Nanjing 210098, China;2. National Engineering Research Center for Intelligent Electrical Vehicle Power System, Qingdao University, Qingdao, Shandong 266071, China;3. School of Electromechanical Engineering, Qingdao University, Qingdao 266071, China;1. Department of Applied Mathematics, University of Leeds, Leeds LS2 9JT, UK;2. Department of Mathematics, College of Science, University of Baghdad, Al-Jadriyah, Baghdad, Iraq;1. Department of Applied Mathematics, University of Leeds, Leeds LS2 9JT, UK;2. Department of Mathematics, College of Science, University of Baghdad, Baghdad, Iraq
Abstract:We consider the inverse problem of determining the time-dependent thermal conductivity and the transient temperature satisfying the heat equation with initial data, Dirichlet boundary conditions, and the heat flux as overdetermination condition. This formulation ensures that the inverse problem has a unique solution. However, the problem is still ill-posed since small errors in the input data cause large errors in the output solution. The finite difference method is employed as a direct solver for the inverse problem. The inverse problem is recast as a nonlinear least-squares minimization subject to physical positivity bound on the unknown thermal conductivity. Numerically, this is effectively solved using the lsqnonlin routine from the MATLAB toolbox. We investigate the accuracy and stability of results on a few test numerical examples.
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