In this paper, we propose a new method to efficiently compute a representation of an orthogonal basis of the nullspace of a sparse matrix operator B T with B โ R nรm , n > m. We assume that B has full rank, i.e., rank(B) = m. It is well known that the last nm columns of the orthogonal matrix Q in a
Sparse representations of integral equations in a localizing basis
โ Scribed by R. J. Adams; F. X. Canning; A. Zhu
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 101 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0895-2477
No coin nor oath required. For personal study only.
โฆ Synopsis
A compression algorithm is presented for discrete representations of boundary-integral operators. The algorithm relies on an expansion of the unknown surface currents in a numerically determined basis of functions that are simultaneously localized to small regions on a large target while also satisfying global boundary conditions. It is shown that the resulting local-global solution (LOGOS) modes provide efficient approximations of the impedance matrix at low to moderate frequencies.
๐ SIMILAR VOLUMES
## Abstract A sparse direct solver for the electric field integral equation is demonstrated for electromagnetic scattering from perfectly conducting targets of fairly large electrical size. For the geometries considered, numerical experiments demonstrate that both the memory and CPU costs of the re