An effective inertial-relaxed CGPM for nonlinear monotone equations
摘要
In this paper, we propose an effective inertial-relaxed CGPM by considering the Armijo line search technique proposed by Amini and Kamandi (Numer Algorithms 70:559–570, 2015). The search direction designed possesses good properties. Furthermore, the global convergence is proved in the absence of the Lipschitz continuity. The numerical results on large-scale equations verify that our proposed method is efficient with the lower computational cost. In particular, applying it to sparse signal restoration indicates that the proposed algorithm is promising and competitive.