DocumentCode
2847258
Title
A Memory Gradient Algorithm for Nonlinear Equations
Author
Zhang, Zhi-Guang
Author_Institution
Dept. of Math., Dezhou Univ., Dezhou, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
3
Abstract
A new memory gradient method for nonlinear equations is proposed. The method is an iterative method, it makes use of the current and previous iterations information to generate a new iteration. This makes the method more stable and more practical. The global convergence of the algorithm is on proved in the paper. Numerical experiments show the algorithm is efficient in many situations.
Keywords
convergence of numerical methods; gradient methods; iterative methods; nonlinear equations; global convergence; iterative method; memory gradient algorithm; nonlinear equations; Convergence; Gradient methods; Hydrogen; Iterative algorithms; Iterative methods; Jacobian matrices; Large-scale systems; Mathematics; Newton method; Nonlinear equations;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5365153
Filename
5365153
Link To Document