A CLASS OF TRUST REGION METHODS FOR NONLINEAR NETWORK OPTIMIZATION PROBLEMS

We describe the results of a series of tests upon a class of new metho ds of trust region type for solving the nonlinear network optimization problem. The trust region technique considered is characterized by th e use of the infinity norm and of inexact projections on the network c onstraints. The results are encouraging and show that this approach is particularly useful in solving large-scale nonlinear network optimiza tion problems, especially when many bound constraints are expected to be active at the solution.