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Polynomial chaos can rigorously quantify uncertainty at a design point, but cannot interpolate across design space. Interpolation methods can predict trends across design space, but cannot rigorously quantify uncertainty. We propose an extension to polynomial chaos which combines the useful features of the aforementioned classes of methods. The result is a method which makes predictions of uncertainty across design space.

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This page is a summary of: Uncertainty Quantification Across Design Space Using Spatially Accurate Polynomial Chaos, AIAA Journal, November 2021, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.j060333.
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