Fast multidimensional statistical analysis of microwave networks via stroud cubature approach

In this paper, a Stroud cubature based stochastic collocation approach for the efficient statistical analysis of microwave networks is proposed. The key advantage of this approach is that the number of Stroud collocation nodes scales optimally (i.e. linearly) with the number of random dimensions thereby requiring substantially smaller number of full-wave simulations than classical collocation approaches based on tensor product grids and sparse grids. The validity of the proposed work is demonstrated using a numerical example.