Efficient solution of the electric-field integral equation using the iterative LSQR algorithm

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2008-01-01

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Ergül, Özgür Salih

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In this letter, we consider iterative solutions of the three-dimensional electromagnetic scattering problems formulated by surface integral equations. We show that solutions of the electric-field integral equation (EFIE) can be improved by employing an iterative least-squares QR (LSQR) algorithm. Compared to many other Krylov subspace methods, LSQR provides faster convergence and it becomes an alternative choice to the time-efficient no-restart generalized minimal residual (GMRES) algorithm that requires large amounts of memory. Improvements obtained with the LSQR algorithm become significant for the solution of large-scale problems involving open surfaces that must be formulated using EFIE, which leads to matrix equations that are usually difficult to solve iteratively, even when the matrix-vector multiplications are accelerated via the multilevel fast multipole algorithm.

Subject Keywords

Electrical and Electronic Engineering

URI

https://hdl.handle.net/11511/41916

Journal

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS

DOI

https://doi.org/10.1109/lawp.2007.908008

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

Ö. S. Ergül, “Efficient solution of the electric-field integral equation using the iterative LSQR algorithm,” IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, pp. 36–39, 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41916.