Abstract:
Variational regularizing algorithms are presented and justified for solving ill-posed extremal problems with an approximately given functional. The algorithms use “non a priori” ways of choosing the regularization parameter according to the generalized residual principle, the generalized quasisolution principle, and the generalized smoothing functional principle for extremal problems.
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