Issue No. 05 - September/October (2010 vol. 12)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2010.22
Larisa Beilina , Chalmers University of Technology and Gothenburg University, Gothenburg
Jianguo Xin , University of North Carolina at Charlotte, Charlotte
Michael Klibanov , University of North Carolina at Charlotte, Charlotte
How can we differentiate between an underground stone and a landmine? A class of new numerical methods aims to address this question using globally convergent—rather than locally convergent—algorithms for coefficient inverse problems. Numerical results model imaging of the spatially distributed dielectric permittivity function in an environment where antipersonnel landmines are embedded along with stones.
Coefficient inverse problems, globally convergent methods, convexification algorithms, imaging inhomogeneities
Larisa Beilina, Jianguo Xin, Michael Klibanov, "Globally Convergent Numerical Methods for Some Coefficient Inverse Problems", Computing in Science & Engineering, vol. 12, no. , pp. 64-77, September/October 2010, doi:10.1109/MCSE.2010.22