A Modified PRP-CG Type Derivative-Free Algorithm with Optimal Choices for Solving Large-Scale Nonlinear Symmetric Equations

نویسندگان

چکیده

Inspired by the large number of applications for symmetric nonlinear equations, this article will suggest two optimal choices modified Polak–Ribiére–Polyak (PRP) conjugate gradient (CG) method minimizing measure function search direction matrix and combining proposed with default Newton direction. In addition, corresponding PRP parameters are incorporated Li Fukushima approximate to propose robust CG-type algorithms finding solutions large-scale systems equations. We have also demonstrated global convergence suggested using some classical assumptions. Finally, we numerical advantages compared existing methods

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ژورنال

عنوان ژورنال: Symmetry

سال: 2021

ISSN: ['0865-4824', '2226-1877']

DOI: https://doi.org/10.3390/sym13020234