A descent algorithm for the optimal control of ReLU neural network informed PDEs based on approximate directional derivatives

Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros

We propose and analyze a numerical algorithm for solving a class of optimal control problems for learning-informed semilinear partial differential equations. The latter is a class…