Monte Carlo sampling

Multi Index Method

Mon, Jun 1 2015 - Wed, Jun 1 2016

Monte Carlo sampling

Multi index methods are based on Sparse Grid methods and utilize the extra mixed regularity between dimensions (spatial or stochastic) to reduce the work complexity of different methods. In fact, in some cases we may get the rate of work complexity that is independent of the number of dimensions.