Numerical solution of inverse heat conduction problems in two spatial dimensions
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H.-J. Reinhardt
Inverse heat conduction problems (IHCPs) have been extensively studied over the last 50 years. They have numerous applications in many branches of science and technology. The problem consists in determining the temperature and heat flux at inaccessible parts of the boundary of a 2- or 3-dimensional body from corresponding data — called 'Cauchy data' — on accessible parts of the boundary. It is well known that IHCPs are severely illposed which means that small perturbations in the data may cause extremely large errors in the solution. In this contribution we first present the problem and show examples of calculations for 2-dimensional IHCP's where the direct problems are solved with the Finite Element package DEAL. As solution procedure we use Tikhonov's regularization in combination with the conjugate gradient method.
Copyright 2007, Walter de Gruyter
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Artikel in diesem Heft
- Parameter estimation versus homogenization techniques in time-domain characterization of composite dielectrics
- Optimal regularization for ill-posed problems in metric spaces
- A dual algorithm for denoising and preserving edges in image processing
- A globally convergent convexification algorithm for multidimensional coefficient inverse problems
- Numerical solution of inverse heat conduction problems in two spatial dimensions
- Imaging low sensitivity regions in petroleum reservoirs using topological perturbations and level sets
