The inverse conductivity problem is the mathematical problem that must be solved in order for electrical impedance tomography systems to be able to make images. Here we show how this inverse conductivity problem is related to a number of other inverse problems. We then explain the workings of an alg
A parallel algorithm for solving the 3D inverse scattering problem
โ Scribed by Ganquan Xie; Qisu Zou
- Publisher
- Elsevier Science
- Year
- 1991
- Tongue
- English
- Weight
- 306 KB
- Volume
- 65
- Category
- Article
- ISSN
- 0010-4655
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โฆ Synopsis
A parallel algorithm for solving the 3D inverse scattering problem is presented. The inverse problem considered is to determine a potential function from received wave data measured on a surface. The above inverse problem is transformed to a 3D nonlinear integral geometry equation. The principal term of the integral geometry operator is linear, weakly ill-posed and preserves symmetry. A parallel numerical iterative algorithm for solving the inverse scattering problem is constructed by using these important properties. The parallel iterative algorithm decomposes a large problem into several smaller problems and employs parallel processors of Cray-2 or IBM-3090. The parallel algorithm can be extended to a much broader range of 2D/3D inverse problems. Some numerical simulation results are performed. Very good numerical results indicate that the parallel algorithm in this paper is effective, fast, stable and has satisfactory accuracy.
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