Low-rank approximation and dimensionality reduction techniques are essential tools in data analysis ... This innovation allows for better scalability in parallel computing environments, making ...
Proper Generalized Decomposition (PGD) and model reduction techniques ... low-data scenarios[4]. Lastly, the introduction of a weakly-invasive LATIN-PGD method for time-dependent non-linear ...
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