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An inverse problem of finding the time-dependent thermal conductivity from boundary data

机译:从边界数据中找到随时间变化的导热系数的反问题

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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 hqnonlin routine from the MATLAB toolbox. We investigate the accuracy and stability of results on a few test numerical examples.
机译:我们考虑用初始数据,Dirichlet边界条件和热通量作为超确定条件来确定满足热方程的时变热导率和瞬态温度的反问题。这种表述确保了反问题具有唯一的解决方案。但是,由于输入数据中的小错误会导致输出解决方案中的大错误,因此该问题仍然存在。有限差分法被用作反问题的直接求解器。反问题被重铸为非线性最小二乘最小化,受制于未知导热系数上的物理正性。在数值上,这可以使用MATLAB工具箱中的hqnonlin例程有效地解决。我们在几个测试数值示例上研究了结果的准确性和稳定性。

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