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most citedOptimal control of partial differential equations in PyTorch using automatic differentiation and neural network surrogates

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Optimal control of partial differential equations in PyTorch using automatic differentiation and neural network surrogates

Denis Khimin, Julian Roth, Alexander Henkes +1

The take-home message of this paper is that solving optimal control problems can be computationally straightforward, provided that differentiable partial differential equation (PDE…