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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
