Abstract

The convergence rate of iterative methods can vary in an unpredictable way. It is related to the matrix condition number, which is notoriously bad for the electric field integral equation (EFIE) in the large-scale electromagnetic problems. Therefore, an efficient direct solution-multilevel compressed block decomposition (MLCBD) algorithm based on the adaptive cross approximation (ACA) algorithm is applied to overcome this problem, it is very efficient for the Monostatic problems. Simulation results of the objects up and below ground in half space demonstrate that the MLCBD method is efficient for analyzing electromagnetic problems.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.