DocumentCode
2848575
Title
A Parallel Iterative Method for Solving Nonlinear Least-Squares Problems
Author
Chen, Zhong ; Lv, Yibing ; Liu, Caiyun
Author_Institution
Sch. of Inf. & Math., Yangtze Univ., Jingzhou, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
3
Abstract
In this paper, we are concerned with a parallel iterative method for nonlinear least-squares problems, which can be viewed as an alterative ordering of the variables in the Jacobian method, the variables are divided into non-disjoint groups. Furthermore, a parallel algorithm is proposed and performed on HP-SPP1600. The numerical results show that the algorithm has nice speedup and parallel efficiency.
Keywords
Jacobian matrices; iterative methods; least squares approximations; nonlinear equations; parallel algorithms; HP-SPP1600; Jacobian method; nondisjoint groups; nonlinear least-squares problem; parallel algorithm; parallel efficiency; parallel iterative method; Gaussian processes; Hydrogen; Iterative algorithms; Iterative methods; Jacobian matrices; Least squares methods; Mathematics; Newton method; Parallel algorithms; Recursive estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5365232
Filename
5365232
Link To Document