A New Hybrid Approach for Solving Large-scale Monotone Nonlinear Equations

IF 0.5 Q4 MULTIDISCIPLINARY SCIENCES Journal of Mathematical and Fundamental Sciences Pub Date : 2020-04-30 DOI:10.5614/j.math.fund.sci.2020.52.1.2
J. Sabi’u, A. Shah, M. Waziri, M. K. Dauda
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引用次数: 7

Abstract

In this paper, a new hybrid conjugate gradient method for solving monotone nonlinear equations is introduced. The scheme is a combination of the Fletcher-Reeves (FR) and Polak-Ribiere-Polyak (PRP) conjugate gradient methods with the Solodov and Svaiter projection strategy. Using suitable assumptions, the global convergence of the scheme with monotone line search is provided. Lastly, a numerical experiment was used to enumerate the suitability of the proposed scheme for large-scale problems.
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求解大规模单调非线性方程的一种新的混合方法
本文介绍了一种新的求解单调非线性方程的混合共轭梯度法。该方案是Fletcher-Reeves (FR)和Polak-Ribiere-Polyak (PRP)共轭梯度方法与Solodov和Svaiter投影策略的结合。在适当的假设条件下,给出了该方案在单调线搜索下的全局收敛性。最后,通过数值实验验证了该方法对大规模问题的适用性。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
0
审稿时长
24 weeks
期刊介绍: Journal of Mathematical and Fundamental Sciences welcomes full research articles in the area of Mathematics and Natural Sciences from the following subject areas: Astronomy, Chemistry, Earth Sciences (Geodesy, Geology, Geophysics, Oceanography, Meteorology), Life Sciences (Agriculture, Biochemistry, Biology, Health Sciences, Medical Sciences, Pharmacy), Mathematics, Physics, and Statistics. New submissions of mathematics articles starting in January 2020 are required to focus on applied mathematics with real relevance to the field of natural sciences. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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