A hybrid optimization that solves the network's linear output layer by least squares inside each gradient step accelerates and stabilizes PINN training for the scattered Helmholtz equation.
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Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations
A hybrid optimization that solves the network's linear output layer by least squares inside each gradient step accelerates and stabilizes PINN training for the scattered Helmholtz equation.