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https://scholarbank.nus.edu.sg/handle/10635/80537
DC Field | Value | |
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dc.title | High-order interpolation methods for finite-element solved potential distributions in the two-dimensional rectilinear coordinate system | |
dc.contributor.author | Khursheed, Anjam | |
dc.date.accessioned | 2014-10-07T02:58:37Z | |
dc.date.available | 2014-10-07T02:58:37Z | |
dc.date.issued | 1996 | |
dc.identifier.citation | Khursheed, Anjam (1996). High-order interpolation methods for finite-element solved potential distributions in the two-dimensional rectilinear coordinate system. Proceedings of SPIE - The International Society for Optical Engineering 2858 : 115-125. ScholarBank@NUS Repository. | |
dc.identifier.isbn | 0819422460 | |
dc.identifier.issn | 0277786X | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/80537 | |
dc.description.abstract | This paper compares the accuracy of three high order interpolation methods to drive spatial derivative information from finite element meshes in the 2D rectilinear coordinate system. These methods involve using a C 1 triangle interpolant, spline/hermite cubic interpolation, and a local polynomial function fit. 2D electric potential distributions are analyzed for a test example on which the radial electric field is evaluated at scattered points in a domain composed of block regions. The results show that of the methods considered, a local polynomial expansion suing basis functions which satisfy Laplace's equation is the most accurate. The better accuracy of this method however, can only be obtained for potential distributions that have a low degree of discretization noise at their mesh nodes. | |
dc.source | Scopus | |
dc.type | Article | |
dc.contributor.department | ELECTRICAL ENGINEERING | |
dc.description.sourcetitle | Proceedings of SPIE - The International Society for Optical Engineering | |
dc.description.volume | 2858 | |
dc.description.page | 115-125 | |
dc.description.coden | PSISD | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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