Proposes a PDE-residual and PDF-based adaptive refinement measure for non-intrusive surrogate modeling of parametric PDEs, excluding unused solution regions and compatible with neural-network discretizations.
Xiu, Numerical Methods for Stochastic Computations: A Spectral Method Approach, Princeton University Press
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
A probabilistic framework combining robust regression, Sobol indices, Monte Carlo propagation, and AIC/BIC model selection for uncertainty-aware creep remaining useful life prediction.
citing papers explorer
-
PDE/PDF-informed adaptive sampling for efficient non-intrusive surrogate modelling
Proposes a PDE-residual and PDF-based adaptive refinement measure for non-intrusive surrogate modeling of parametric PDEs, excluding unused solution regions and compatible with neural-network discretizations.
-
A framework for probabilistic prediction of remaining useful life in structural materials
A probabilistic framework combining robust regression, Sobol indices, Monte Carlo propagation, and AIC/BIC model selection for uncertainty-aware creep remaining useful life prediction.