A Dai-Liao-based extension of the three-term Polak–Ribière–Polyak method

In a significant modification of the Polak–Ribière–Polyak method, Zhang et al. proposed a descent three-term conjugate gradient method which is globally convergent. Here, we develop a class of one-parameter descent extension of the method based on the Dai-Liao approach. Additionally, based on quasi-Newton aspects, the parameter of the method is computed. At last, practical merits of the methods are investigated by numerical experiments on a set of CUTEr test functions. The results show computational effciency of the proposed methods