Title :
On Condition Number for Weighted Linear Least Squares Problem
Author :
Wang, Shufan ; Ma, Zhihui ; Li, Zizhen
Author_Institution :
Sch. of Math. & Stat., Lanzhou Univ., Lanzhou, China
Abstract :
Condition numbers play an important role in numerical analysis. In this paper, we consider the condition number for the weighted linear least-squares(WLS) problems min with full-row rank as well as an explicit computable expression of the condition number for weighted linear least squares problem under the condition. The results extend the earlier works of some anthers.
Keywords :
least squares approximations; number theory; Moore-Penrose inverse; condition numbers; numerical analysis; weighted linear least squares problem; Educational institutions; Linear systems; Numerical analysis; Sensitivity analysis; Vectors;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.76
