This paper introduces a novel method for extracting conditional Sobol' indices, which are crucial for understanding system sensitivity under specific conditions. The approach leverages the inherent properties of Polynomial Chaos Expansion (PCE) basis functions to analytically derive these indices. This technique bypasses the need for computationally intensive point-wise modeling or additional sampling, transforming sensitivity analysis into an algebraic post-processing step. AI
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IMPACT Offers a more computationally efficient and robust method for sensitivity analysis in parameterized systems.
RANK_REASON The cluster describes an academic paper published on arXiv detailing a new method for uncertainty quantification.
