Name
Abstract | ||
|---|---|---|
This paper gives a modified PRP method which possesses the global convergence of nonconvex function and the R-linear convergence
rate of uniformly convex function. Furthermore, the presented method has sufficiently descent property and characteristic
of automatically being in a trust region without carrying out any line search technique. Numerical results indicate that the
new method is interesting for the given test problems. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s10479-008-0420-4 | Annals OR |
Keywords | Field | DocType |
Line search,Unconstrained optimization,Conjugate gradient method,Global convergence,R-linear convergence | Gradient method,Conjugate gradient method,Trust region,Mathematical optimization,Gradient descent,Nonlinear conjugate gradient method,Rate of convergence,Mathematics,Conjugate residual method,Derivation of the conjugate gradient method | Journal |
Volume | Issue | ISSN |
166 | 1 | 15729338 |
Citations | PageRank | References |
10 | 0.60 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gonglin Yuan | 1 | 215 | 13.71 |
| Xiwen Lu | 2 | 182 | 21.03 |