Self adaptive spectral conjugate gradient method for solving nonlinear monotone equations | ||||
Journal of the Egyptian Mathematical Society | ||||
Volume 28, Issue 1, June 2020, Page 1-21 PDF (594.27 K) | ||||
DOI: 10.1186/s42787-019-0066-1 | ||||
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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 | ||||
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