Conjugate gradient methods form a class of iterative algorithms that are highly effective for solving large‐scale unconstrained optimisation problems. They achieve efficiency by constructing search ...
Abstract: This study proposes a novel hybrid conjugate gradient method, termed the RMILLS method, aimed at resolving constrained nonlinear monotone equations. This method integrates the projection ...
Abstract: Formulas of new “nonlinear conjugate gradient (CG)”, satisfying “the sufficient descent condition”, are proposed to solve problems of unconstrained optimization. Wolfe line search was ...