Publication | Closed Access
Error bounds for tikhonov regularization in hilbert scales
236
Citations
2
References
1984
Year
Numerical AnalysisSpectral TheoryTikhonov ReguiarirationEngineeringVariational AnalysisRegularization (Mathematics)Tikhonov RegularizationReproducing Kernel MethodConvex OptimizationInverse ProblemsHilbert ScalesFunctional AnalysisHilbert ScaleApproximation TheoryConvergence AnalysisVariational Inequalities
For an ill-posed problem Af = g we consider Tikhonov reguiariration: Minimize where is the norm in a Hilbert scale (Hs). Assuming that the norm is equivalent to the norm for some a > O and f ε Hq for some q > O , we show that the accuracy of Tikhonov regularization is asymptotically best possible, provided that ω is chosen optimally and p ≥ (q - a)/2.
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