Self adaptive spectral conjugate gradient method for solving nonlinear monotone equations | ||
Journal of the Egyptian Mathematical Society | ||
Volume 28, Issue 1, June 2020, Pages 1-21 PDF (594.27 K) | ||
DOI: 10.1186/s42787-019-0066-1 | ||
Authors | ||
M. Koorapetse; P. Kaelo | ||
Department of Mathematics, University of Botswana, Private Bag UB00704 Gaborone, Botswana | ||
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 FT k dk ≤ −cFk2, 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. | ||
Keywords | ||
Self adaptive; Spectral conjugate gradient method; Nonlinear monotone equations | ||
Statistics Article View: 34 PDF Download: 35 |