A new three-term conjugate gradient method with application to regression analysis

Conjugate gradient (CG) method is well-known for its ability to solve unconstrained optimization (UO.) problems. This article presenting a new CG with sufficient descent conditions which improves the former developed by Rvaie, Mustafa, Ismail and Leong (RMIL). The efficacy of proposed has been demonstrated through simulations on Kijang Emas pricing regression problem. daily data between January 2021 May were obtained from Malaysian Ministry Health Bank Negara Malaysia. dependent variable this study was price, independent variables coronavirus disease (COVID-19) measures (i.e., cases, R-naught, death recovered). Data collected analyzed correlation coefficient determinant, influences COVID-19 price examined multiple linear model. Findings revealed that suggested technique outperformed existing algorithms in terms computing efficiency.