2000
DOI: 10.1016/s0045-7825(99)00316-3
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Analytical integration of weakly singular integrals in boundary element analysis of Helmholtz and advection–diffusion equations

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Cited by 14 publications
(14 citation statements)
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“…These include analytical evaluation [41,42], division of the interval about the singularity [43], subtraction of the singularity [42], special quadrature routines [44], and the use of non-linear coordinate transformations [45][46][47][48][49]. Each method has its own particular advantages and disadvantages depending on the type and order of the boundary elements used, and the form of the singular integral.…”
Section: Computation Of Weakly Singular Integralsmentioning
confidence: 99%
“…These include analytical evaluation [41,42], division of the interval about the singularity [43], subtraction of the singularity [42], special quadrature routines [44], and the use of non-linear coordinate transformations [45][46][47][48][49]. Each method has its own particular advantages and disadvantages depending on the type and order of the boundary elements used, and the form of the singular integral.…”
Section: Computation Of Weakly Singular Integralsmentioning
confidence: 99%
“…However, let us note that for the integral of this choice, K0RT, closed form analytical formula [30] as well as Chebyshev expansion based approximation [31] are available, the latter being no more expensive than evaluation of K 0 (t). Further, in SSM or SSNT implementation based on K0RT, we can also exploit the fact that the integral a 0 K 0 (t) dt is simply a constant (= =2) for large arguments a [24], which would be the case for large values of .…”
Section: Modiÿed Helmholtz Equationmentioning
confidence: 99%
“…Many methods for numerical evaluation of singular integrals have been developed. These include analytical evaluation methods [1,2], recursive subdivision of the integration interval [3], subtraction of singularity [4,5], specialized quadrature formulas [6][7][8][9][10][11], and non-linear co-ordinate transformation techniques . Among them we are interested in the non-linear co-ordinate transformation techniques which are known to be efficient and easy to use in adaptive approaches.…”
Section: Introductionmentioning
confidence: 99%
“…where 0 min{J (1) (1), J (2) (−1)}/4J (1) (1). See Reference [13] for definitions of J (1) (1), J (2) …”
mentioning
confidence: 99%