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- W2552332016 abstract "The Total Least Squares solution of an overdetermined, approximate linear equation $Ax approx b$ minimizes a nonlinear function which characterizes the backward error. We show that a globally convergent variant of the Gauss--Newton iteration can be tailored to compute that solution. At each iteration, the proposed method requires the solution of an ordinary least squares problem where the matrix $A$ is perturbed by a rank-one term." @default.
- W2552332016 created "2016-11-30" @default.
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- W2552332016 date "2017-07-29" @default.
- W2552332016 modified "2023-09-27" @default.
- W2552332016 title "A Gauss–Newton iteration for Total Least Squares problems" @default.
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- W2552332016 doi "https://doi.org/10.1007/s10543-017-0678-5" @default.
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