A Skeletonization accelerated MLFMA for Volume-Surface Integral Equation

To achieve a fast solution of large-scale problems for composite targets, a skeletonization based method for accelerating the MFLMA solution of volume-surface integral equation is proposed. The near-field interactions in the four sub-blocks of the impedance matrix are compressed through skeletonization. To speedup the convergence of the iterative solution, an HSS-based block-diagonal preconditioner is also proposed. Numerical experiments are conducted on a frequency selective surface model to investigate the performance of the proposed method.