Work

Self adaptive spectral conjugate gradient method for solving nonlinear monotone equations

Year: 2020
Type: article
Abstract: In this paper, we propose a self adaptive spectral conjugate gradient-based projection method for systems of nonlinear monotone equations. Based on its modest memory requirement and its efficiency, the method is suitable for solving large-scale equations. We show that the method satisfies the descent condition $F_{k}^{T}d_{k}\leq -c\|F_{k}\|^{2}, c>0$ FkTdk≤−c∥Fk∥2,c>0 , and also prove its global convergence. The method is compared to other existing methods on a set of benchmark test problems and results show that the method is very efficient and therefore promising.
Language: Latvian
Open Access status: hybrid
Estimated APC paid:
OpenAlex ID: W3029239773
FWCI: 1.19
Cites: 28
Cited by: 8
Related to: 10