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math.NA2026
Gradient-enhanced spline dimensional decomposition for uncertainty quantification with limited training samples
Eunho Heo, Dongjin Lee
A spline dimensional decomposition (SDD) surrogate effectively represents high-dimensional engineering responses with localized features and complex nonlinearities in uncertainty q…
math.NA2025
Data-driven dimensionally decomposed generalized polynomial chaos expansion for forward uncertainty quantification
Hojun Choi, Eunho Heo, Dongjin Lee
Dimensionally decomposed generalized polynomial chaos expansion (DD-GPCE) efficiently performs forward uncertainty quantification (UQ) in complex engineering systems with high-dime…