1999
DOI: 10.1002/(sici)1097-0207(19990830)45:12<1807::aid-nme655>3.0.co;2-k
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Numerical integration schemes for the BEM solution of hypersingular integral equations

Abstract: SUMMARYIn this paper we consider singular and hypersingular integral equations associated with 2D boundary value problems deÿned on domains whose boundaries have piecewise smooth parametric representations. In particular, given any (polynomial) local basis, we show how to compute e ciently all integrals required by the Galerkin method. The proposed numerical schemes require the user to specify only the local polynomial degrees; therefore they are quite suitable for the construction of p-and h-p versions of Gal… Show more

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Cited by 34 publications
(36 citation statements)
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(30 reference statements)
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“…and apply the procedure suggested in [1]. Since in this case the associated function F (y) (see (1.3)) has a log singularity only at the origin, it is sufficient to introduce which leads to the bound R n (f 1 ) = O(n −2q log n).…”
Section: Remark 3 Incidentally We Notice That (33) In Particular Immentioning
confidence: 99%
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“…and apply the procedure suggested in [1]. Since in this case the associated function F (y) (see (1.3)) has a log singularity only at the origin, it is sufficient to introduce which leads to the bound R n (f 1 ) = O(n −2q log n).…”
Section: Remark 3 Incidentally We Notice That (33) In Particular Immentioning
confidence: 99%
“…Since in this case the associated function F (y) (see (1.3)) has a log singularity only at the origin, it is sufficient to introduce which leads to the bound R n (f 1 ) = O(n −2q log n). For the evaluation of the inner integral we proceed as suggested in [1] (see also [7]): we use (1.2) when, for example, −0.05 = y 0 < y < 0, and the n-point Gauss-Legendre formula otherwise. We recall that in this particular case the remainder term of the latter rule is O(n −l ) with l arbitrarily large; therefore it can also be bounded by (2.34).…”
Section: Remark 3 Incidentally We Notice That (33) In Particular Immentioning
confidence: 99%
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