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Sparsity and machine learning for design and optimisation

To operate in real-time, complex simulation models such the ones implemented in STREAM-0D need to cut down computational times while saving the reliability of information. This is where the notion of ‘sparsity’ comes into play.

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Reduced Order Models, augmented knowledge

For this new Bits Of STREAM-0D episode, the Institut de Calcul Intensif (ICI) of the École Centrale de Nantes explains why, in the last decade, Reduced Order Modeling (ROM) has emerged as a key tool in simulation-based engineering sciences.

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