Adjustment of Part Bounded Uncertain Data
School of Geosciences and Info-Physics，Central South University，932 South-Lushan Road, Changsha 410083, China
Abstract Neither least-squares nor total least-squares can be applied to the condition that a coefficient matrix has bounded errors very well. In addition, the adjustment of bounded uncertain data cannot be directly applied in this condition. Therefore, the part bounded problem is analyzed in this paper. An iterative algorithm to solve this issue is proposed based on the adjustment of bounded uncertain data. The validity of this method is proved through an example.
Key words ：
part bounded
total least-squares
least-square
coefficient matrix
Received: 15 January 2014
Published: 06 February 2015
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