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A generalized multi-resolution expansion for uncertainty propagation with application to cardiovascular modeling

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Computational models are used in a variety of fields to improve our understanding of complex physical phenomena. Recently, the realism of model predictions has been greatly enhanced by transitioning from deterministic to stochastic frameworks, where the effect... ...