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Tikhonov regularization is an effective way in particles size inversion of dynamic light scattering (DLS). Regularization parameter choice is the key in this approach. In order to obtain the optimal regularization parameter, according to the Morozov discrepancy principle, an regularization inversion method based on genetic algorithms (GA)is proposed. It optimizes the regularization parameter within...
Information on the particle size distribution (PSD) of a particulate system is contained in the turbidity measurements. To obtain the PSD from such measurements, the inversion of a Fredholm integral of the first kind is required. To solve this ill-posed problem Tikhonov regularization technique can be used. The central issue in every regularization problem is the choice of an effective regularization...
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