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In this contribution, the inverse problem of electromagnetic nondestructive evaluation is targeted. The inverse problem is formalised as an optimisation task which is to be performed over a small number of parameters of a defect model, in order to fit the simulated data to the measurement as much as possible. A well-known drawback of this classical scheme is the time-consumption associated with the numerical simulation of the forward problem. To overcome this, we propose the use of a pre-calculated database consisting of corresponding pairs of defect parameters - output signals. The generation of the database is performed by an adaptive sampling scheme which has already been published and studied. The main contribution in the present work is the use of a quadratic programming routine for the optimisation. This is made possible by the use of piecewise linear interpolation of the output signal over the samples stored in the database. Our approaches are illustrated via examples drawn from eddy-current testing, using up to six defect parameters.
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