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K. Vo

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Variational Boosting for Physics-Informed Neural Networks

This work introduces a variational boosting framework in which solutions are constructed additively in function space and separates global nonlinear refinement into a sequence of well-conditioned subproblems while preserving the full variational structure of the operator.

P. Protopapas, K. Vo · 0 citations

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