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- W2088877504 abstract "Truncated singular value decomposition is a popular solution method for linear discrete ill-posed problems. However, since the singular value decomposition of the matrix is independent of the right-hand side, there are linear discrete ill-posed problems for which this method fails to yield an accurate approximate solution. This paper describes a new approach to incorporating knowledge about properties of the desired solution into the solution process through an initial projection of the linear discrete ill-posed problem. The projected problem is solved by truncated singular value decomposition. Computed examples illustrate that suitably chosen projections can enhance the accuracy of the computed solution." @default.
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- W2088877504 date "2007-01-05" @default.
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- W2088877504 title "A truncated projected SVD method for linear discrete ill-posed problems" @default.
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- W2088877504 doi "https://doi.org/10.1007/s11075-006-9053-3" @default.
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