A Stochastic Collocation Algorithm with Multifidelity Models

This work presents a numerical method for utilizing stochastic models with differing fideli- ties to approximate parameterized functions, and provides sufficient conditions for convergence, and presents several examples that are of practical interest, including multifidelity approximations and dimensionality reduction.