Name
Abstract | ||
|---|---|---|
A BFGS method, in association with a new backtracking line search technique, is presented for solving symmetric nonlinear equations. The global and superlinear convergences of the given method are established under mild conditions. Preliminary numerical results show that the proposed method is better than the normal technique for the given problems. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.camwa.2006.12.081 | Computers & Mathematics with Applications |
Keywords | Field | DocType |
global convergence,symmetric nonlinear equations,normal technique,symmetric nonlinear equation,bfgs method,line search,new backtracking line search,new backtracking inexact bfgs,mild condition,superlinear convergence,preliminary numerical result,nonlinear equation | Superlinear convergence,Mathematical optimization,Nonlinear system,Backtracking line search,Line search,Backtracking,Broyden–Fletcher–Goldfarb–Shanno algorithm,Mathematics | Journal |
Volume | Issue | ISSN |
55 | 1 | Computers and Mathematics with Applications |
Citations | PageRank | References |
14 | 0.88 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gonglin Yuan | 1 | 215 | 13.71 |
| Xiwen Lu | 2 | 182 | 21.03 |