Iterative Algorithm for Adjustment Model with Part Uncertainty
Abstract In order to improve the calculation efficiency of the adjustment model with part uncertainty, a directly iterative algorithm is developed. Another algorithm is also discussed when the iterative algorithm is divergent. The results of a straight line fitting and a plane coordinate transformation illustrate that the proposed algorithm for adjustment model with part uncertainty can be practiced, has higher calculation efficiency, and has improved stability.
Key words :
uncertainty
iterative algorithm
adjustment criterion
straight line fitting
Cite this article:
ZHU Guohong,LU Tieding. Iterative Algorithm for Adjustment Model with Part Uncertainty[J]. jgg, 2017, 37(9): 968-972.
ZHU Guohong,LU Tieding. Iterative Algorithm for Adjustment Model with Part Uncertainty[J]. jgg, 2017, 37(9): 968-972.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2017/V37/I9/968
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