Now showing items 1-5 of 5
Solution of low-frequency electromagnetics problems using hierarchical matrices
Fast and accurate solutions of low-frequency electromagnetics problems are obtained with an iterative solver based on hierarchical matrices. Iterative solvers require matrix-vector multiplications (MVMs). The results show ...
Hierarchical parallelization of the multilevel fast multipole algorithm (MLFMA)
Due to its O(N log N) complexity, the multilevel fast multipole algorithm (MLFMA) is one of the most prized algorithms of computational electromagnetics and certain other disciplines. Various implementations of this algorithm ...
Windowed equivalence principle for open surfaces
We introduce a modified current expansion scheme over open surfaces based on the equivalence theorem, which employs closed surfaces, in principle. Weighting the expansion coefficients with a suitable window function ...
Reducing MLFMA memory with out-of-core implementation and data-structure parallelization
We present two memory-reduction methods for the parallel multilevel fast multipole algorithm (MLFMA). The first method implements out-of-core techniques and the second method parallelizes the pre-processing data structures. ...
Microwave imaging of three-dimensional conducting objects using the newton minimization approach
In this work, we present a framework to detect the shape of unknown perfect electric conducting objects by using inverse scattering and microwave imaging. The initialguess object, which evolves to achieve the target, is ...