A New Formula for Conjugate Gradient in Unconstrained Optimization
The method of Conjugate Gradient (CG) is a key component of optimization methods that aren't bound by local convergence characteristics. In this study, we created KHI3, a novel search direction in the (CG) Algorithm. The novel approach satisfies the regression criterion. The overall convergence of the proposed technique has also been proved utilizing Wolff search line words. A new algorithm for solving the large-scale unconstrained optimization issue is particularly successful.