Abstract
We describe the results of a series of tests upon a class of new
methods of trust region type for solving the nonlinear network
optimization problem. The trust region technique considered is
characterized by the use of the infinity norm and of inexact
projections on the network constraints. The results are encouraging
and show that this approach is particularly useful in solving
large-scale nonlinear network optimization problems, especially when
many bound constraints are expected to be active at the solution.
Original language | English |
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Pages (from-to) | 379-407 |
Number of pages | 29 |
Journal | SIAM Journal on Optimization |
Volume | 5 |
Issue number | 2 |
Publication status | Published - 1995 |