Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification
Abstract Multi-fidelity Monte Carlo methods leverage low-fidelity and surrogate models for
variance reduction to make tractable uncertainty quantification even when numerically …
variance reduction to make tractable uncertainty quantification even when numerically …
[HTML][HTML] Advanced Uncertainty Quantification for Flood Inundation Modelling
G Aitken, L Beevers, MA Christie - Water, 2024 - mdpi.com
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Article in Journal Cladocera and Geochemical Variables from Core Sediments Show Different …
Article in Journal Cladocera and Geochemical Variables from Core Sediments Show Different …
Geometric Uncertainty Analysis of Aerodynamic Shapes Using Multifidelity Monte Carlo Estimation
TA Kosloske - 2023 - search.proquest.com
Uncertainty analysis is of great use both for calculating outputs that are more akin to real
flight, and for optimization to more robust shapes. However, implementation of uncertainty …
flight, and for optimization to more robust shapes. However, implementation of uncertainty …