pseudoinverse matrix
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2020 ◽  
Vol 41 ◽  
pp. 101092
Author(s):  
Anastasia-Dimitra Lipitakis ◽  
Christos K. Filelis-Papadopoulos ◽  
George A. Gravvanis ◽  
Dimosthenis Anagnostopoulos

Author(s):  
Amridon G. Barliani ◽  
◽  
Galina A. Nefedova ◽  
Irina V. Karnetova ◽  
◽  
...  

The purpose of this paper is a comparative analysis of the methods of least squares and pseudonormal optimization on the example of equalization and estimation of the accuracy of the first-class triangulation link. Pseudonormal optimization is radically different from the traditional method of least squares optimization, since it leads to complex and cumbersome procedures for equalizing and evaluating the accuracy of the results of processing geodesic constructions due to complex formulas. A recurrent method of sequential formation of a pseudoinverse matrix of parametric correction equations is presented, which allows avoiding the time-consuming computational process of composing and solving normal equations. A mathematical algorithm for estimating the accuracy of the equalized parameters is considered. The analysis of the equation works has shown that the pseudonormal optimization method allows calculating the values of the equalized coordinates 4 times more accurately than the least squares optimization.


2016 ◽  
Vol 21 (3) ◽  
pp. 209-213
Author(s):  
Jinhui Liu ◽  
Huanguo Zhang ◽  
Jianwei Jia
Keyword(s):  

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