2015
DOI: 10.1016/j.enganabound.2014.12.007
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Meshless methods for multivariate highly oscillatory Fredholm integral equations

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Cited by 21 publications
(13 citation statements)
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“…[20][21][22][23] A vast range of PDEs have been successfully solved by RBF methods. [24][25][26][27][28][29] When the goal is to approximate dispersed data in several dimensions, the RBF methods turn out to be the most suitable methodology in the case of multivariate approximation. The global, nonpolynomial, RBF method is a workable substitute for obtaining exponential accuracy (though in some cases), where the classical methods are hard to be applied.…”
Section: Introductionmentioning
confidence: 99%
“…[20][21][22][23] A vast range of PDEs have been successfully solved by RBF methods. [24][25][26][27][28][29] When the goal is to approximate dispersed data in several dimensions, the RBF methods turn out to be the most suitable methodology in the case of multivariate approximation. The global, nonpolynomial, RBF method is a workable substitute for obtaining exponential accuracy (though in some cases), where the classical methods are hard to be applied.…”
Section: Introductionmentioning
confidence: 99%
“…Several methods are reported in the literature for numerical solution of FIE(s) [1,2,4,6,8,9,[12][13][14][15][16]. Some numerical techniques have been developed for either oscillatory integrals or non-oscillatory integral equations [7,8,14,18,20] rather than oscillatory integral equations, where the quadrature methods fails to deliver.…”
Section: Introductionmentioning
confidence: 99%
“…The main challenge of (2) is how to evaluate it accurately and efficiently especially if the KF is highly oscillatory while incorporating SP(s). The literature is adequate and very few methods have been reported in the past in this scenario, (see [1,2,4,6,9,19,20,23]).…”
Section: Introductionmentioning
confidence: 99%
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