Polynomial chaos expansion is a mathematical technique used to represent uncertain quantities in terms of orthogonal polynomials, allowing for efficient modeling and propagation of uncertainty in complex systems. By transforming random variables into a series of polynomial terms, this method facilitates the analysis of how uncertainties in input parameters affect the output responses of models, making it a powerful tool for uncertainty quantification and sensitivity analysis.
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