In this paper we present a rigorous cost and error analysis of amultilevel estimator based on randomly shifted Quasi-Monte Carlo (QMC)lattice rules for lognormal diffusion problems. These problems are motivatedby uncertainty...
Low-rank tensor approximations have shown great potential for uncertainty quantification in high dimensions, for example, to build surrogate models that can be used to speed up large-scale inference problems [M. Eigel, M....
Low-rank tensor approximations have shown great potential for uncertainty quantification in high dimensions, for example, to build surrogate models that can be used to speed up large-scale inference problems [M. Eigel, M....
In this paper we present a rigorous cost and error analysis of amultilevel estimator based on randomly shifted Quasi-Monte Carlo (QMC)lattice rules for lognormal diffusion problems. These problems are motivatedby uncertainty...