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- W2034360981 abstract "Abstract A method is proposed for the stochastic regularization of an inverse ill-posed problem which is reduced to evaluation of a linear unbounded operator. The problem is solved by the Galerkin projection method. Error estimates are obtained for the solution, and it is shown there is an optimal dimensionality of the projection space which simultaneously minimizes the upper value of the estimate and the discrepancy of the solution." @default.
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- W2034360981 title "Stochastic projection spline regularization based on the discrepancy principle" @default.
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- W2034360981 doi "https://doi.org/10.1016/0041-5553(87)90037-1" @default.
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