Title :
A new algorithm for finding the optimal solution of the least absolute value estimation problem
Author :
Christensen, Gustav S. ; Saif, Mehrdad ; Soliman, Soliman A.
Abstract :
In this paper an algorithm is developed which uses contraction mapping to determine the optimal solution of the least absolute value (LAV) static estimation problem. It is noted that the new algorithm is computationally simpler than other methods currently available for this purpose. Minimal computational effort is required to obtain the LAV estimates.
Keywords :
Curve fitting; Equations; Linear programming; Measurement uncertainty; Performance analysis; State estimation; Vectors;
Journal_Title :
Electrical and Computer Engineering, Canadian Journal of
DOI :
10.1109/CJECE.2007.364327
