A Sufficient Descent Conjugate Gradient Algorithm for Unconstrained Optimization
Abstract:A sufficient descent conjugate gradient algorithm for unconstrained optimization was presented on the basis of modified PRP conjugate gradient method. It is proved that the algorithm is globally convergent with the Wolfe line search conditions. The numerical results show that the algorithm is efficient.