Abstract
A new 2-D implementation of the globally convergent convexification numerical method for coefficient inverse problems is described. Based on a simplified mathematical model, numerical results from imaging of targets which mimic antipersonnel land mines demonstrate that the algorithm can detect the location(s) of the inclusion(s) from the background medium, as well as identify the material property of the inclusion(s) and the background. With the ‘tails’ incorporated in the new development, the computational efficiency of the algorithm is dramatically improved relatively to the previous ‘tail-free’ implementation.
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