Advanced Modeling in Stochastic Computational Electromagnetics

The tremendous development of digital computers in the last decades has provided continuous improvement of various sophisticated methods in computational electromagnetics (CEM). CEM analysis methods provide results within an appreciably shorter time than it would be required to build and test the corresponding prototype by means of certain experimental procedures.Furthermore,computer simulation of electromagnetic phenomena enables one to predict a system behavior for a wide range of parameters such as geometry, material properties, boundary and initial conditions, and excitations. Limitations of CEM models when applied to complex configurations resulting in large-scale problems are often related to very high computational cost. This special issue collects papers covering all aspects of stochastic computational electromagnetics.