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- W2551624944 abstract "The application of the L1 method to adjust survey networks of directions and distances while minimising the sum of the absolute values of the weighted residuals,Σ| v |, is investigated in this paper. The L1 norm algorithms are robust in the presence of gross observation errors but are different from iteratively reweighted least squares. Comparisons are made between the results of the L1 method and the results of conventional least squares (LS) adjustment. The L1 method can easily be programmed to read the same input file as a conventional least squares adjustment program. It can be used to generate approximate coordinates, locate gross error observations, and adjust the network despite rank defects in the network. It is particularly useful for analysing erroneous input data files which cause conventional least squares programs to crash or not converge. It is suggested that the L1 method be considered as an additional tool that is sometimes useful to use as well as, but not as a replacement for, least squares." @default.
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- W2551624944 date "1993-01-01" @default.
- W2551624944 modified "2023-09-27" @default.
- W2551624944 title "Survey network adjustments by the L1 method" @default.
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