Back to Search
Start Over
A modified conjugate gradient algorithm with backtracking line search technique for large-scale nonlinear equations.
- Source :
- International Journal of Computer Mathematics; Feb2018, Vol. 95 Issue 2, p382-395, 14p
- Publication Year :
- 2018
-
Abstract
- Conjugate gradient methods are widely used for solving unconstrained optimization and nonlinear equations, specially in large-scale cases. Since they own the attractive practical factors of simple computation and low memory requirement, interesting theoretical features of curvature information and strong global convergence. In this paper, we present a modified conjugate gradient algorithm by line search method with acceleration scheme for nonlinear symmetric equations. Furthermore, the proposed method not only possess descent property but also owns global convergence in mild conditions. Numerical results also indicate that the presented method is much more effective than the other methods for the test problems. [ABSTRACT FROM PUBLISHER]
- Subjects :
- ALGORITHMS
NONLINEAR equations
MATHEMATICS
EQUATIONS
STOCHASTIC convergence
Subjects
Details
- Language :
- English
- ISSN :
- 00207160
- Volume :
- 95
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- International Journal of Computer Mathematics
- Publication Type :
- Academic Journal
- Accession number :
- 127557848
- Full Text :
- https://doi.org/10.1080/00207160.2017.1290433