2013
DOI: 10.1016/j.apnum.2013.08.003
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Algebraic cubature by linear blending of elliptical arcs

Abstract: We construct a cubature formula of algebraic degree of exactness n with n 2 /2 + O(n) nodes, on the bidimensional domains generated by linear blending of two arcs of ellipses corresponding to the same angular interval. The construction is based on recent results on "subperiodic" trigonometric quadrature. Our formula generalizes several recent cubature formulas on standard circular sections. Among its numerous possible applications, we quote for example integration of functions with singularities, and integrati… Show more

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Cited by 19 publications
(45 citation statements)
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References 22 publications
(31 reference statements)
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“…It is not difficult to show, by a possible reparametrization with a suitable angle shift when A i and B i are not orthogonal, that these curves are arcs of two ellipses centered at C 1 and C 2 , respectively (cf. [14]). Consider the compact domain X ¼ fðx; yÞ ¼ nðs; hÞ ¼ sPðhÞ þ ð1 À sÞQ ðhÞ; ðs; hÞ 2 ½0; 1 Â ½a; bg;…”
Section: Wams By Arc Blendingmentioning
confidence: 93%
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“…It is not difficult to show, by a possible reparametrization with a suitable angle shift when A i and B i are not orthogonal, that these curves are arcs of two ellipses centered at C 1 and C 2 , respectively (cf. [14]). Consider the compact domain X ¼ fðx; yÞ ¼ nðs; hÞ ¼ sPðhÞ þ ð1 À sÞQ ðhÞ; ðs; hÞ 2 ½0; 1 Â ½a; bg;…”
Section: Wams By Arc Blendingmentioning
confidence: 93%
“…Several instances of standard as well as less standard sections of disks (and ellipses) can be treated by arc blending, as it has been shown in [14] in the framework of cubature. All the examples below can be reproduced by the Matlab software package WAM in [19].…”
Section: Examplesmentioning
confidence: 97%
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“…A Matlab implementation of the latter is provided in [3], by exploiting fast and stable computation of modified Chebyshev moments and the algorithms for orthogonal polynomials in the OPQ suite [9] by W. Gautschi. It is worth recalling that Gaussian quadrature for the weight function (1.1), can also be embedded in the more general framework of "sub-range" Jacobi polynomials, cf.…”
Section: Implementation and Examplesmentioning
confidence: 99%