Title of article :
Improving the Dai–Liao parameter choices using a fixed point equation
Author/Authors :
Babaie-Kafaki, Saman Department of Mathematics - Semnan University, Semnan, Iran , Aminifard, Zohre Department of Mathematics - Semnan University, Semnan, Iran
Pages :
10
From page :
11
To page :
20
Abstract :
Recently, based on a singular value analysis on the Dai–Liao conjugate gradient method, Babaie-Kafaki and Aminifard suggested a fixed point equation. The prominent feature of the proposed equation is that its solutions may increase numerical stability of the method while improving the global convergence. Here, the same fixed point equation is employed to upgrade previously proposed choices of the Dai–Liao parameter based on the well-known functional iteration method. Global convergence analysis is conducted and numerical experiments are done to support our discussions.
Keywords :
Unconstrained optimization , conjugate gradient method , maximum magnification , fixed point equation , functional iteration
Journal title :
Journal of Mathematical Modeling(JMM)
Serial Year :
2022
Record number :
2733235
Link To Document :
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