A Parallel Projected Fletcher-Reeves Method for Optimal Control

We propose a new parametrized gradient projection algorithm for solving large scale constrained optimization problems, and we demonstrate thlie efficiency of the approach by comparing implementations on both the Cray 2 and Connection Machine 2. Numerical results are provided in solving discrete optimal control problems with very high dimensionality (up to 2,097,152 variables).