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A pullback-corrected scalar auxiliary variable optimizer with momentum and adaptive mobility

Zhang, Jiahao et al.
arXiv (OAI Expanded) · Papers
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Objectives in scientific machine learning are often prescribed as a sum of several terms, such as the residual, boundary, initial, and data losses of a physics-informed neural network. In the pullback-corrected scalar auxiliary variable (PB--SAV) method, one scalar tracks the shifted objective while
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