Nonlinear Conjugate Gradient Coefficients with Exact and Strong Wolfe Line Searches Techniques

Nonlinear conjugate gradient (CG) methods are very important for solving unconstrained optimization problems. These have been subjected to extensive researches in terms of enhancing them. Exact and strong Wolfe line search techniques usually used practice the analysis implementation methods. For better results, several studies carried out modify classical CG The method Fletcher Reeves (FR) is one most well-known It has convergence properties, but it gives poor numerical results practice. main goal this paper enhance performance via a convexity type modification on its coefficient β k . We ensure that with modification, still achieving sufficient descent condition global both exact searches. show modified FR more robust effective.