The article presents a multi-resolution (MR) preconditioner able to improve the solution convergence, via the method of moments (MoM) and the multilevel fast multipole algorithm (MLFMA), in the case of nonconformal meshes applying the multi-branch Rao–Wilton–Glisson (MB-RWG) basis functions. The proposed preconditioner enables, for the first time, an automatic multilevel quasi-Helmholtz decomposition on nonconforming meshes, including also the generation of the topological (global) loop functions. Moreover, the generation of the proposed preconditioning scheme is fully parallelized in a multicore shared-memory environment. Numerical results show the great flexibility of this approach for the solution of electrically large multiscale objects including h-refinement discretizations.
A Multi-Resolution Preconditioner for Non-Conformal Meshes in the MoM Solution of Large Multi-Scale Structures / Martin, V. F.; Taboada, J. M.; Vipiana, F.. - In: IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION. - ISSN 0018-926X. - ELETTRONICO. - 71:12(2023), pp. 9303-9315. [10.1109/TAP.2023.3269100]
A Multi-Resolution Preconditioner for Non-Conformal Meshes in the MoM Solution of Large Multi-Scale Structures
F. Vipiana
2023
Abstract
The article presents a multi-resolution (MR) preconditioner able to improve the solution convergence, via the method of moments (MoM) and the multilevel fast multipole algorithm (MLFMA), in the case of nonconformal meshes applying the multi-branch Rao–Wilton–Glisson (MB-RWG) basis functions. The proposed preconditioner enables, for the first time, an automatic multilevel quasi-Helmholtz decomposition on nonconforming meshes, including also the generation of the topological (global) loop functions. Moreover, the generation of the proposed preconditioning scheme is fully parallelized in a multicore shared-memory environment. Numerical results show the great flexibility of this approach for the solution of electrically large multiscale objects including h-refinement discretizations.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2987524