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
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