doi:10.1016/j.cma.2014.12.013
Antolin Sanchez, Pablo
Buffa, Annalisa
Calabrò, F.
Martinelli, M.
Sangalli, G.
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.
2017-04-03T09:04:44Z
http://infoscience.epfl.ch/record/227212
http://infoscience.epfl.ch/record/227212
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