2014
DOI: 10.1109/tmag.2013.2281568
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The Adaptive Cross Approximation Technique for a Volume Integral Equation Method Applied to Nonlinear Magnetostatic Problems

Abstract: Volume integral equation methods are particularly well suited to solve electromagnetic problems, where the air domain is predominant. However, their use leads to the heavy resolution of a dense matrix system. The Adaptive Cross Approximation (ACA) combined with hierarchical matrices (H-matrices) decomposition is an algebraic method allowing the compression of fully populated matrices. This paper presents the ACA technique applied to a volume integral equation to solve nonlinear magnetostatic problems.

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Cited by 12 publications
(9 citation statements)
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“…In addition, the dimension N is drastically larger than the dimensions M and K. For reasons mentioned above, it takes time to calculate a matrix-vector product Wu as compared with J(S)u, Cu. Hence, we only use the H-matrix method [13,14,15,16] for accelerating the computation of Wu.…”
Section: H-matrix Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, the dimension N is drastically larger than the dimensions M and K. For reasons mentioned above, it takes time to calculate a matrix-vector product Wu as compared with J(S)u, Cu. Hence, we only use the H-matrix method [13,14,15,16] for accelerating the computation of Wu.…”
Section: H-matrix Methodsmentioning
confidence: 99%
“…For this purpose, we use the GMRES(k) method as a solver of the linear-system and implement the H-matrix method [13,14,15,16] to the GMRES. In addition, we investigate the performance of the GMRES(k) with H-matrix method by simulating the scanning permanent magnet method.…”
Section: Introductionmentioning
confidence: 99%
“…In the present study, the above two transformations are simultaneously performed by means of the H-matrix method [6,7]. In the H-matrix method, a cluster tree is first generated on the basis of the information on node positions.…”
Section: H-matrix Methodsmentioning
confidence: 99%
“…2. Only if a p × q submatrix W (σ,τ) satisfies a specified condition, it is approximated by the ACA decomposition [6,7]: W (σ,τ) UV T . Here, U and V are p × r and q × r matrices, respectively, and r denotes an approximate rank of W (σ,τ) .…”
Section: Acceleration Techniques 41 Speedup Strategymentioning
confidence: 99%
“…Iterative solvers accelerated by fast methods [13][14][15][16][17][18][19][20][21][22] for matrix vector multiplication can be very effective in many contexts, but their performance is held hostage to the convergence rate of the iteration. In general, VIEs can be well conditioned if the formulation of the second kind integral equation is employed.…”
Section: Introductionmentioning
confidence: 99%