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The choice between adjoint methods and PINNs hinges on parameter representation, with a hybrid approach offering a cost-effective path to high accuracy in time-dependent inverse problems.
Indirect PINNs offer a more accurate and stable approach to PDE-constrained optimal control by explicitly enforcing optimality conditions, outperforming direct PINN methods.
