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- W2051873315 abstract "An analysis of a class of data fitting problems, where the data uncertainties are subject to known bounds, is given in a very general setting. It is shown how such problems can be posed in a computationally convenient form, and the connection with other more conventional data fitting problems is examined. The problems have attracted interest so far in the special case when the underlying norm is the least squares norm. Here the special structure can be exploited to computational advantage, and we include some observations which contribute to algorithmic development for this particular case. We also consider some variants of the main problems and show how these too can be posed in a form which facilitates their numerical solution." @default.
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- W2051873315 date "2001-01-01" @default.
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- W2051873315 title "Data Fitting Problems with Bounded Uncertainties in the Data" @default.
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- W2051873315 doi "https://doi.org/10.1137/s0895479899356596" @default.
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