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The present paper deals with the reconstruction of two-dimensional permittivity and conductivity distributions from experimental multiple-frequency data. Three new iterative inverse schemes are described and compared. A frequencyweighted cost functional is introduced and minimizing this cost function rather than a standard one lead to a robust and accurate inverse algorithm. In addition, none of the three schemes uses a regularization procedure.

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