Abstract
For solving linear ill-posed problems with noisy data, regularization methods are required. In the present paper, regularized approximations in Hilbert scales are obtained by a general regularization scheme. The analysis of such schemes is based on new results for interpolation in Hilbert scales. Error bounds are obtained under general smoothness conditions.
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