research article
Efficient matrix computation for tensor-product isogeometric analysis: the use of sum factorization
In this paper we discuss the use of the sum-factorization for the calculation of the integrals arising in Galerkin isogeometric analysis. While introducing very little change in an isogeometric code based on element-by-element quadrature and assembling, the sum-factorization approach, taking advantage of the tensor-product structure of splines or NURBS shape functions, significantly reduces the quadrature computational cost. © 2014 Elsevier B.V.
Type
research article
Author(s)
Date Issued
2015
Volume
285
Start page
817
End page
828
Editorial or Peer reviewed
REVIEWED
Written at
OTHER
EPFL units
Available on Infoscience
April 3, 2017
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