AN EFFICIENT NEW CONJUGATE GRADIENT APPROACH FOR SOLVING SYMMETRIC NONLINEAR EQUATIONS

In this article, we proposed a derivative and matrix free an efficient conjugate gradient approach for solving symmetric nonlinear equations without computing exact gradient and Jacobian with a very low memory requirement. We show that the proposed method has global convergence properties under appropriate conditions with nonmonotone line search. We also report some numerical resultsto show its efficiency.