FR-type algorithm for finding approximate solutions to nonlinear monotone operator equations

Abstract This paper focuses on the problem of convex constraint nonlinear equations involving monotone operators in Euclidean space. A Fletcher and Reeves type derivative-free conjugate gradient method is proposed. The proposed designed to ensure descent property search direction at each iteration. Furthermore, convergence proved under assumption that underlying operator Lipschitz continuous. numerical results show efficient for given test problems.