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.


Published in:
Computer Methods in Applied Mechanics and Engineering, 285, 817-828
Year:
2015
ISSN:
0045-7825
Laboratories:




 Record created 2017-04-03, last modified 2018-09-13


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