An adaptive retrospective trust region method for unconstrained optimization

In this paper, we propose a new trust region method with the aid of a adaptive retrospective trust region radius update strategy. The radius in the new subproblem adjusts automatically based on g
k
, B
k
and the previously successful one. Local superlinear is analyzed. The numerical results suggest that our algorithm is efficient in practical computation.