1992
DOI: 10.1109/75.122406
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Matrix singular value decomposition for pole-free solutions of homogeneous matrix equations as applied to numerical modeling methods

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Cited by 62 publications
(24 citation statements)
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“…Although much attention has been devoted previously to the zero-searching procedure [7,10,13,17,19,32], the relevance of this task in many electromagnetic problems still requires the development of new strategies to enhance the efficiency of the overall procedure. To this end, we propose a systematic integral method to find all the real/complex roots of any analytic function within a given region (in the present context, the term analytic means free of both poles and branch points) and without any previous knowledge of the approximate location of the roots (although, if this information were available, it could be used advantageously).…”
Section: A Root Searching Methodsmentioning
confidence: 99%
“…Although much attention has been devoted previously to the zero-searching procedure [7,10,13,17,19,32], the relevance of this task in many electromagnetic problems still requires the development of new strategies to enhance the efficiency of the overall procedure. To this end, we propose a systematic integral method to find all the real/complex roots of any analytic function within a given region (in the present context, the term analytic means free of both poles and branch points) and without any previous knowledge of the approximate location of the roots (although, if this information were available, it could be used advantageously).…”
Section: A Root Searching Methodsmentioning
confidence: 99%
“…But the actual implementation of searching is a difficult task because of the fact that det([A(γ)]) is a rapidly changing function with γ, containing not only poles and zeros in close neighborhood but also extremely steep gradients. A method to circumvent this problem is presented in [27] where the singular-value decomposition of the matrix…”
Section: Numerical Resultsmentioning
confidence: 99%
“…There are three ways to find the solution of singularity: we can set the determinant, the smallest eigenvalue, or the smallest singular value to zero. All of these are equivalent in terms of the results, but the SVD technique is more stable and faster (Labay & Bornemann, 1992;Mohebbi et al, 2006). Hence, highly stable SVD was used to find the eigenvalues of the matrix A.…”
Section: Theory and Formulationmentioning
confidence: 99%
“…The MM technique, along with an entire domain orthogonal set that was used in this case, led to results that were in good agreement with other methods and experiments. A combination of the MM technique and the generalized scattering matrix (GSM) was reported in Labay and Bornemann (1992) for analysis of infinitely thin microstrip and other printed planar structures. Generally, this hybrid method is a powerful tool for analyzing many composite waveguide structures that are commonly found in practical applications (Itoh, 1989).…”
Section: Introductionmentioning
confidence: 99%