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The OLS function performs a comprehensive Ordinary Least Squares (OLS) regression, offering both standard and robust inference metrics. It takes in a dependent variable y and a matrix of independent ...
This work proposes a hybrid training strategy that embeds a least-squares optimization step within the training loop of physics-informed neural networks (PINNs) to solve the 2D acoustic Helmholtz ...
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