Abstract
We aim to identify the unknown source locations in a two-dimensional heat equation from scattered measurements. In [Inverse Problems, 22(4): 1289-1305, 2006], we proposed a numerical procedure that identifies the unknown source locations of 2D heat equation solely based on three measurement points. Due to the nonlinearity and complexity of the problem, the quality of the resulting estimations is often poor especially when the number of unknown is large. In this paper, we purpose a linear refinement scheme that takes the outputs of the existing nonlinear algorithm as initial guesses and iteratively improves on the accuracy of the estimations; the convergence of the proposed algorithm with noisy data is proven. The work is concluded by some numerical examples.
Original language | English |
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Pages (from-to) | 99-110 |
Number of pages | 12 |
Journal | CMES - Computer Modeling in Engineering and Sciences |
Volume | 20 |
Issue number | 2 |
Publication status | Published - Jun 2007 |
Scopus Subject Areas
- Software
- Modelling and Simulation
- Computer Science Applications
User-Defined Keywords
- Heat equation
- inverse problem
- point source
- locations identification
- fundamental solution
- convergence