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Grid structure impact in sparse point representation of derivatives

dc.contributor.authorDomingues, Margarete O.
dc.contributor.authorFerreira, Paulo
dc.contributor.authorGomes, Sónia M.
dc.contributor.authorGomide, Anamaria
dc.contributor.authorPereira, José R.
dc.contributor.authorPinho, Pedro
dc.date.accessioned2011-11-24T18:40:59Z
dc.date.available2011-11-24T18:40:59Z
dc.date.issued2010-08-15
dc.description.abstractIn the Sparse Point Representation (SPR) method the principle is to retain the function data indicated by significant interpolatory wavelet coefficients, which are defined as interpolation errors by means of an interpolating subdivision scheme. Typically, a SPR grid is coarse in smooth regions, and refined close to irregularities. Furthermore, the computation of partial derivatives of a function from the information of its SPR content is performed in two steps. The first one is a refinement procedure to extend the SPR by the inclusion of new interpolated point values in a security zone. Then, for points in the refined grid, such derivatives are approximated by uniform finite differences, using a step size proportional to each point local scale. If required neighboring stencils are not present in the grid, the corresponding missing point values are approximated from coarser scales using the interpolating subdivision scheme. Using the cubic interpolation subdivision scheme, we demonstrate that such adaptive finite differences can be formulated in terms of a collocation scheme based on the wavelet expansion associated to the SPR. For this purpose, we prove some results concerning the local behavior of such wavelet reconstruction operators, which stand for SPR grids having appropriate structures. This statement implies that the adaptive finite difference scheme and the one using the step size of the finest level produce the same result at SPR grid points. Consequently, in addition to the refinement strategy, our analysis indicates that some care must be taken concerning the grid structure, in order to keep the truncation error under a certain accuracy limit. Illustrating results are presented for 2D Maxwell's equation numerical solutions.por
dc.identifier.citationDOMINGUES, Margarete O.; [et al] – Grid structure impact in sparse point representation of derivatives. Journal of Computational and Applied Mathematics. ISSN 0377-0427. Vol. 234, N.º 8 (2010), pp. 2377-2389.por
dc.identifier.doi10.1016/j.cam.2010.02.035
dc.identifier.issn0377-0427
dc.identifier.urihttp://hdl.handle.net/10400.21/571
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherElsevier Science BVpor
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0377042710001330
dc.subjectWaveletspor
dc.subjectMultiresolution analysispor
dc.subjectAdaptivitypor
dc.subjectSparse gridspor
dc.subjectFinite differencespor
dc.subjectConsistency analysispor
dc.titleGrid structure impact in sparse point representation of derivativespor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceAmsterdampor
oaire.citation.endPage2389por
oaire.citation.issue8por
oaire.citation.startPage2377por
oaire.citation.titleJournal of Computational and Applied Mathematicspor
oaire.citation.volume234
person.familyNameFerreira
person.familyNameGomide
person.familyNamePinho
person.givenNamePaulo
person.givenNameAnamaria
person.givenNamePedro
person.identifier.ciencia-id4C17-7EC8-C889
person.identifier.orcid0000-0003-0942-6289
person.identifier.orcid0000-0003-0683-7672
person.identifier.orcid0000-0001-5588-7794
person.identifier.ridA-6410-2012
person.identifier.ridD-4304-2009
person.identifier.scopus-author-id55427200900
person.identifier.scopus-author-id16031596400
rcaap.rightsrestrictedAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicationcfcae9ab-4fb7-42f9-aada-d51daa710140
relation.isAuthorOfPublicationf800e879-bf2c-41de-a9c6-5b1d8d2778ca
relation.isAuthorOfPublication8347c340-8bc5-4fe8-8377-6bf016c2e2d2
relation.isAuthorOfPublication.latestForDiscoveryf800e879-bf2c-41de-a9c6-5b1d8d2778ca

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