Nonmonotone adaptive trust region method with line search based on new diagonal updating

摘要

In this paper, a new nonmonotone adaptive trust region method with line search for solving unconstrained nonlinear optimization problems is introduced. The computation of the Hessian approximation is based on the usage of the weak secant equation by a diagonal definite matrix. Under some reasonable conditions, the global convergence of the proposed algorithm is established. The numerical results show the new method is effective and attractive for large scale optimization problems.