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Alex Timonov, associate professor of mathematics, submitted a scientific article, “A globally convergent algorithm for the frequency sounding and Slichter-Langer-Tikhonov problem of electrical prospecting,” for publication in the top national SIAM (Society of Industrial and Applied Mathematics) Journal on Scientific Computing.

The article opens the series of publications of the results obtained within the U.S. Army Research Lab/Army Research Office research grant in collaboration with Professor Klibanov (UNC Charlotte), an international leading expert in the area of inverse coefficient problems.

The article describes a new globally convergent algorithm for quantitative imaging landmines and near-surface conductivity distributions, which are of particular interest to detection and classification of landmines and exploration geophysics.

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