Trust Region Algorithms for Nonlinear Equations

In this paper, we consider the problem of solving nonlinear equations F (x) = 0, where F (x) from < n to < m is continuously diierentiable. We study a class of general trust region algorithms for solving nonlinear equation by minimizing a given norm jjF(x)jj. The trust region algorithm for nonlinear equations can be viewed as an extension of the Levenberg-Marquardt algorithm for nonlinear least squares. Global convergence of trust region algorithms for nonlinear equations are studied and local convergence analyses are also given.