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2001
DOI: 10.1016/s0010-4655(01)00206-5
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On the solution of boundary value problems using spheroidal eigenvectors

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Cited by 8 publications
(5 citation statements)
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“…That is why there are no pure TE or TM modes in spheroids but only hybrid ones. Different methods of separation of variables (SVM) using series expansions with either spheroidal or spherical functions have been proposed [11], [12], [13]. Unfortunately they lead to extremely bulky infinite sets of equations which can be solved numerically only in simplest cases and the convergence is not proved.…”
Section: Introductionmentioning
confidence: 99%
“…That is why there are no pure TE or TM modes in spheroids but only hybrid ones. Different methods of separation of variables (SVM) using series expansions with either spheroidal or spherical functions have been proposed [11], [12], [13]. Unfortunately they lead to extremely bulky infinite sets of equations which can be solved numerically only in simplest cases and the convergence is not proved.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, it can model much better than the spherical geometry, a large variety of inclusions or inhomogeneities participating in scattering processes. [1][2][3][4][5] A lot of effort has been devoted to study the direct scattering problem by obstacles [6][7][8][9][10][11][12][13] and especially from spheroids both theoretically and numerically. The adopted methodology in each case depends crucially on the frequency (wavenumber) range under consideration.…”
Section: Introductionmentioning
confidence: 99%
“…Different methods of separation of variables (SVM) using series expansions with either spheroidal or spherical functions have been proposed. [11][12][13] Unfortunately they lead to extremely bulky infinite sets of equations which can be solved numerically only in simplest cases and the convergence is not proved. Exact characteristic equation for the eigenfrequencies in dielectric spheroid was suggested 14 without provement that if real could significantly ease the task of finding eigenfrequencies.…”
Section: Introductionmentioning
confidence: 99%