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- W2042566396 abstract "In this paper, we consider a finite-dimensional approximation scheme combined with Tikhonov regularization for solving ill-posed problems. Error estimates are obtained by an a priori parameter choice strategy and the results show that the amount of discrete information required for solving the problem is far less than the traditional finite-dimensional approach." @default.
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- W2042566396 date "2006-01-01" @default.
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- W2042566396 title "An efficient discretization scheme for solving ill-posed problems" @default.
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- W2042566396 doi "https://doi.org/10.1016/j.jmaa.2005.06.009" @default.
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