Dynamic solvers for linear optimization problems

In this study, based on the classical gradient projection method of optimization theory a dynamic solver for linearly constrained linear optimization problems called the gradient projection network is introduced. To illustrate the performance of the network the result obtained for a special linear problem is compared with those obtained by Kennedy-Chua, Rodriguez-Vazquez and Zak´s network.