Browsing by Keywords "Computational electromagnetics"
Now showing items 120 of 27

Accelerating the multilevel fast multipole algorithm with the sparseapproximateinverse (SAI) preconditioning
(Society for Industrial and Applied Mathematics, 2009)With the help of the multilevel fast multipole algorithm, integralequation methods can be used to solve reallife electromagnetics problems both accurately and efficiently. Increasing problem dimensions, on the other hand, ... 
Accuracy and efficiency considerations in the solution of extremely large electromagnetics problems
(IEEE, 2011)This study considers fast and accurate solutions of extremely large electromagnetics problems. Surface formulations of largescale objects lead to dense matrix equations involving millions of unknowns. Thanks to recent ... 
Analysis of doublenegative materials with surface integral equations and the multilevel fast multipole algorithm
(IEEE, 2011)We present a fast and accurate analysis of doublenegative materials (DNMs) with surface integral equations and the multilevel fast multipole algorithm (MLFMA). DNMs are commonly used as simplified models of metamaterials ... 
Approximate MLFMA as an efficient preconditioner
(IEEE, 2007)In this work, we propose a preconditioner that approximates the dense system operator. For this purpose, we develop an approximate multilevel fast multipole algorithm (AMLFMA), which performs a much faster matrixvector ... 
An effective preconditioner based on schur complement reduction for integralequation formulations of dielectric problems
(IEEE, 2009)The author consider effective preconditioning of recently proposed two integralequation formulations for dielectrics; the combined tangential formulation (CTF) and the electric and magnetic current combinedfield integral ... 
Fast and accurate analysis of optical metamaterials using surface integral equations and the parallel multilevel fast multipole algorithm
(IEEE, 2013)We present fast and accurate simulations of optical metamaterials using surface integral equations and the multilevel fast multipole algorithm (MLFMA). Problems are formulated with the electric and magnetic current ... 
Fast and accurate solutions of extremely large integralequation problems discretised with tens of millions of unknowns
(The Institution of Engineering and Technology, 2007)The solution of extremely large scattering problems that are formulated by integral equations and discretised with tens of millions of unknowns is reported. Accurate and efficient solutions are performed by employing a ... 
Fast and accurate solutions of largescale scattering problems with parallel multilevel fast multipole algorithm
(IEEE, 2007)Fast and accurate solution of largescale scattering problems obtained by integralequation formulations for conducting surfaces is considered in this paper. By employing a parallel implementation of the multilevel fast ... 
Fast direct (noniterative) solvers for integralequation formulations of scattering problems
(IEEE, 1998)A family of direct (noniterative) solvers with reduced computational complexity is proposed for solving problems involving resonant or nearresonant structures. Based on the recursive interaction matrix algorithm, the ... 
Hierarchical parallelization of the multilevel fast multipole algorithm (MLFMA)
(IEEE, 2013)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 ... 
Improving the accuracy of the surface integral equations for lowcontrast dielectric scatterers
(IEEE, 2007)Solutions of scattering problems involving lowcontrast dielectric objects are considered by employing surface integral equations. A stabilization procedure based on extracting the nonradiating part of the induced currents ... 
Iterative nearfield preconditioner for the multilevel fast multipole algorithm
(Society for Industrial and Applied Mathematics, 20100706)For iterative solutions of large and difficult integralequation problems in computational electromagnetics using the multilevel fast multipole algorithm (MLFMA), preconditioners are usually built from the available sparse ... 
Iterative solution of the normalequations form of the electricfield integral equation
(IEEE, 2007)In this paper, we show that transforming the original equations into normal equations improves the convergence of EFIE significantly. We present the solutions of EFIE by employing the leastsquares QR (LSQR) algorithm, ... 
Microwave imaging of threedimensional conducting objects using the newton minimization approach
(IEEE, 2013)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 ... 
On the choice of basis functions to model surface electric current densities in computational electromagnetics
(WileyBlackwell Publishing, Inc., 199911)Basis functions that are used to model surface electric current densities in the electric field integral equations of computational electromagnetics are analyzed with respect to how well they model the charge distribution, ... 
On the Lagrange interpolation in multilevel fast multipole algorithm
(IEEE, 2006)We consider the Lagrange interpolation employed in the multilevel fast multipole algorithm (MLFMA) as part of our efforts to obtain faster and more efficient solutions for large problems of computational electromagnetics. ... 
A performanceenhanced planar Schottky diode for Terahertz applications: an electromagnetic modeling approach
(Cambridge University Press, 2017)In this paper, we present the electromagnetic modeling of a performanceenhanced planar Schottky diode for applications in terahertz (THz) frequencies. We provide a systematic simulation approach for analyzing our Schottky ... 
Preconditioning large integralequation problems involving complex targets
(IEEE, 200807)When the target problem is small in terms of the wavelength, simple preconditioners, such as BDP, may sufficiently accelerate the convergence. On the other hand, for largescale problems, the matrix equations become much ... 
Reducing MLFMA memory with outofcore implementation and datastructure parallelization
(IEEE, 2013)We present two memoryreduction methods for the parallel multilevel fast multipole algorithm (MLFMA). The first method implements outofcore techniques and the second method parallelizes the preprocessing data structures. ... 
Rigorous solutions of largescale dielectric problems with the parallel multilevel fast multipole algorithm
(IEEE, 2011)We present fast and accurate solutions of largescale electromagnetics problems involving threedimensional homogeneous dielectric objects. Problems are formulated rigorously with the electric and magnetic current ...