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Numerical solution of an inverse steady state heat conduction problem

机译:逆稳态导热问题的数值解

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We consider a two dimensional inverse steady state heat conduction problem. The Laplace equation is valid in a domain with a hole, and temperature and heat-flux data are specified on the outer boundary. The problem is ill-posed, i.e. the solution does not depend continuously on the boundary data, and small errors in the data can destroy the numerical solution. We consider two numerical methods for solving this problem. By discretizing the differential equation using finite differences, and using Tikhonov regularization on the discrete problem, we get a large sparse least squares problem. Alternatively we can use a conformal mapping, and solve an equivalent problem on an annulus, using a technique based on the Fast Fourier transform. Numerical results using both methods are given.
机译:我们考虑了二维逆稳态导热问题。拉普拉斯方程在具有孔的域中有效,并且在外边界上指定温度和热通量数据。问题是不良的,即,解决方案不连续地在边界数据上连续依赖,数据中的小错误可能会破坏数字解决方案。我们考虑了解决这个问题的两种数值方法。通过使用有限差异来离子化差分方程,并在离散问题上使用Tikhonov正规化,我们得到了一个大的稀疏最小二乘问题。或者,我们可以使用基于快速傅里叶变换的技术来使用共形映射,并在环形上解决一个等效问题。给出了使用两种方法的数值结果。

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