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Multipole expansions and pseudospectral cardinal functions: A new generalization of the fast fourier transform

dc.contributor.authorBoyd, John P.en_US
dc.date.accessioned2006-04-10T15:00:39Z
dc.date.available2006-04-10T15:00:39Z
dc.date.issued1992-11en_US
dc.identifier.citationBoyd, John P. (1992/11)."Multipole expansions and pseudospectral cardinal functions: A new generalization of the fast fourier transform." Journal of Computational Physics 103(1): 184-186. <http://hdl.handle.net/2027.42/29747>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6WHY-4DDR3YX-K3/2/1b3b6169478438c80889954cc9e8e434en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/29747
dc.description.abstractThe polynomial or trigonometric interpolant of an arbitrary function f(x) may be represented as a "cardinal function" series whose coefficients are the values of f(x) at the interpolation points. We show that the cardinal series is identical to the sum of the forces due to a set of N point charges (with appropriate force laws). It follows that the cardinal series can be summed via the fast multipole method (FMM) in O(N log2 N) operations, which is much cheaper than the O(N2) cost of direct summation. The FM M is slower than the fast Fourier transform (FFT), so the latter should always be used where applicable. However, the multipole expansion succeeds where the FFT fails. In particular, the FMM can be used to evaluate Fourier and Chebyshev series on an irregular grid as is needed when adaptively regridding in a time integration. Also, the multipole expansion can be applied to basis sets for which the FFT is inapplicable even on the canonical grid including Legendre polynomials, Hermite and Laguerre functions, spherical harmonics, and slnc functions.en_US
dc.format.extent264136 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleMultipole expansions and pseudospectral cardinal functions: A new generalization of the fast fourier transformen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPhysicsen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Atmospheric, Oceanic, and Space Science, University of Michigan, 2455 Hayward Avenue, Ann Arbor, Michigan 48109, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/29747/1/0000085.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0021-9991(92)90333-Ten_US
dc.identifier.sourceJournal of Computational Physicsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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