Reducing the Computational Requirements of the Differential Quadrature Method

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dc.creatorChen, W
dc.creatorWang, Xinwei
dc.creatorYu, Yongxi
dc.date2002-07-09
dc.date.accessioned2026-07-07T03:18:37Z
dc.date.available2026-07-07T03:18:37Z
dc.descriptionThis paper shows that the weighting coefficient matrices of the differential quadrature method (DQM) are centrosymmetric or skew-centrosymmetric if the grid spacings are symmetric irrespective of whether they are equal or unequal. A new skew centrosymmetric matrix is also discussed. The application of the properties of centrosymmetric and skew centrosymmetric matrix can reduce the computational effort of the DQM for calculations of the inverse, determinant, eigenvectors and eigenvalues by 75%. This computational advantage are also demonstrated via several numerical examples.
dc.identifierhttps://arxiv.org/abs/cs/0207033
dc.identifierhttp://arxiv.org/abs/cs/0207033
dc.identifierNumerical Methods for Partial Differential Equations, 12, 565-577, 1996
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31188
dc.subjectComputational Engineering, Finance, and Science
dc.subjectComputational Geometry
dc.subjectG1.3, G1.8
dc.titleReducing the Computational Requirements of the Differential Quadrature Method
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