Regularization of illposed problems Uno Hamarik University of Tartu Estonia Content

Illposed problems de64257nition and examples 2 Regularization of illposed problems with noisy data 3 Parameter choice rules for exact noise level 4 Iterative methods 5 Discretization methods 6 Lavrentiev and Tikhonov methods and modi64257cations 7 P

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