A New Formula for Conjugate Gradient in Unconstrained Optimization
DOI:
https://doi.org/10.25130/tjps.v27i1.87Keywords:
Unconstrained Optimization; (CG) Method; Wolfe Line Search; Global ConvergenceAbstract
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.
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