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Documents  65T40 | enregistrements trouvés : 3

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- xiii; 245 p.
ISBN 978-1-4704-2019-2

Proceedings of symposia in applied mathematics , 0073

Localisation : Collection 1er étage

analyse de Fourier # extension harmonique # approximation trigonométrique # interpolation

42-06 ; 42C15 ; 42A10 ; 65T40 ; 00B25

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Research talks;Mathematics in Science and Technology

When solving wave scattering problems with the Boundary Element Method (BEM), one usually faces the problem of storing a dense matrix of huge size which size is proportional to the (square of) the number N of unknowns on the boundary of the scattering object. Several methods, among which the Fast Multipole Method (FMM) or the H-matrices are celebrated, were developed to circumvent this obstruction. In both cases an approximation of the matrix is obtained with a O(N log(N)) storage and the matrix-vector product has the same complexity. This permits to solve the problem, replacing the direct solver with an iterative method.
The aim of the talk is to present an alternative method which is based on an accurate version of the Fourier based convolution. Based on the non-uniform FFT, the method, called the sparse cardinal sine decomposition (SCSD) ends up to have the same complexity than the FMM for much less complexity in the implementation. We show in practice how the method works, and give applications in as different domains as Laplace, Helmholtz, Maxwell or Stokes equations.
This is a joint work with Matthieu Aussal.
When solving wave scattering problems with the Boundary Element Method (BEM), one usually faces the problem of storing a dense matrix of huge size which size is proportional to the (square of) the number N of unknowns on the boundary of the scattering object. Several methods, among which the Fast Multipole Method (FMM) or the H-matrices are celebrated, were developed to circumvent this obstruction. In both cases an approximation of the matrix is ...

65T50 ; 65R10 ; 65T40

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- 453 p.
ISBN 978-0-8218-2953-0

Graduate studies in mathematics , 0057

Localisation : Collection 1er étage;Réserve

analyse numérique # interpolation # fonction spline # valeur propre # équation différentielle # approximation # méthode itérative

65-00 ; 65-01 ; 65B05 ; 65B15 ; 65Dxx ; 65Fxx ; 65G50 ; 65H10 ; 65H17 ; 65K10 ; 65Lxx ; 65Q05 ; 65T40 ; 65T50 ; 65Y20 ; 49M15 ; 49M20

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