Optimal sampling in multifidelity Monte Carlo methods for uncertainty propagation
Video: https://vimeo.com/204561429 Abstract: In uncertainty propagation, coefficients, boundary conditions, and other key inputs of computational models are given as random variables and one is interested in estimating statistical moments of the corresponding model outputs. Estimating the moments with crude Monte Carlo can become prohibitively expensive in cases where a single …