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.
babaie Kafaki, S., & Aminifard, Z. (2022). Improving the Dai-Liao parameter choices using a fixed point equation. Journal of Mathematical Modeling, 10(1), 11-20. doi: 10.22124/jmm.2021.16900.1466
MLA
Saman babaie Kafaki; Zohre Aminifard. "Improving the Dai-Liao parameter choices using a fixed point equation". Journal of Mathematical Modeling, 10, 1, 2022, 11-20. doi: 10.22124/jmm.2021.16900.1466
HARVARD
babaie Kafaki, S., Aminifard, Z. (2022). 'Improving the Dai-Liao parameter choices using a fixed point equation', Journal of Mathematical Modeling, 10(1), pp. 11-20. doi: 10.22124/jmm.2021.16900.1466
VANCOUVER
babaie Kafaki, S., Aminifard, Z. Improving the Dai-Liao parameter choices using a fixed point equation. Journal of Mathematical Modeling, 2022; 10(1): 11-20. doi: 10.22124/jmm.2021.16900.1466
)