Paper Info
Title
Gauss-Galerkin quadrature rules for quadratic and cubic spline spaces and their application to isogeometric analysis.
Abstract
We introduce Gaussian quadrature rules for spline spaces that are frequently used in Galerkin discretizations to build mass and stiffness matrices. By definition, these spaces are of even degrees. The optimal quadrature rules we recently derived (Bartoň and Calo, 2016) act on spaces of the smallest odd degrees and, therefore, are still slightly sub-optimal. In this work, we derive optimal rules directly for even-degree spaces and therefore further improve our recent result. We use optimal quadrature rules for spaces over two elements as elementary building blocks and use recursively the homotopy continuation concept described in Bartoň and Calo (2016) to derive optimal rules for arbitrary admissible numbers of elements. We demonstrate the proposed methodology on relevant examples, where we derive optimal rules for various even-degree spline spaces. We also discuss convergence of our rules to their asymptotic counterparts, these are the analogues of the midpoint rule of Hughes et al. (2010), that are exact and optimal for infinite domains.
Year
DOI
Venue
2017
10.1016/j.cad.2016.07.003
Computer-Aided Design
Keywords
Field
DocType
Optimal quadrature rules,Galerkin method,Gaussian quadrature,B-splines,Isogeometric analysis,Homotopy continuation for quadrature
Spline (mathematics),Gauss–Kronrod quadrature formula,Mathematical optimization,Mathematical analysis,Tanh-sinh quadrature,Clenshaw–Curtis quadrature,Gauss–Hermite quadrature,Quadrature (mathematics),Gauss–Jacobi quadrature,Gaussian quadrature,Mathematics
Journal
Volume
ISSN
Citations 
82
0010-4485
7
PageRank 
References 
Authors
0.91
2
2
Name
Order
Citations
PageRank
Michael Barton111112.52
Victor M. Calo219138.14