Upscaling parameters for conjugate gradient method in unconstrained optimization

Abstract

An effective iterative technique, conjugate gradient algorithm is based on the conjugate gradient parameters. By satisfying the conjugacy requirement, one may construct an effective parameters conjugate gradient using a second order Taylor series. After an analysis of the new algorithm’s convergence characteristics, we provide some numerical findings that demonstrate the robustness and effectiveness of the improved methods.