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SUMMARY:Giancarlo Sangalli (University of Pavia)
DTSTART:20210309T060000Z
DTEND:20210309T070000Z
DTSTAMP:20260423T052641Z
UID:CMWebinar/5
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/CMWebinar/5/
 ">Isogeometric Analysis: a high-order method for PDEs</a>\nby Giancarlo Sa
 ngalli (University of Pavia) as part of Australian Seminar on Computationa
 l Mathematics\n\n\nAbstract\nIsogeometric Analysis was proposed in the sem
 inal work of Hughes\, Cottrell\, and Bazilevs in 2005\, and be seen as a g
 eneralisation of the finite element\nmethod that replaces classical $C^0$ 
  finite elements with smooth\nsplines. Doing so\, IGA aims to be easily co
 mpatible with\ncomputer-aided geometric design systems\,  where smooth spl
 ines are used\nto create computational geometric models. In this framework
 \, \nthere has been a successful creation of novel\, robust\, high-order\n
 accurate numerical methods for solving PDEs.\n\nThe concept of k-refinemen
 t (or K-method) was  proposed as one of\nthe key features of isogeometric 
 analysis\, "a new\, more efficient\,\nhigher-order concept"\, in the origi
 nal isogeometric article by Hughes and co-workers. The idea of using high-
 degree\nand continuity splines (or NURBS\, etc.) as a basis for a new\nhig
 h-order method appeared very promising from the beginning. The\nk-refineme
 nt leads to several advantages: higher accuracy per\ndegree-of-freedom\, i
 mproved spectral accuracy\, the possibility of\nstructure-preserving smoot
 h discretizations are the most interesting\nfeatures that have been studie
 d actively in the community. At the same\ntime\, the k-refinement brings s
 ignificant challenges at the\ncomputational level: using standard finite e
 lement routines\, its\ncomputational cost grows with respect to the degree
 \, making degree\nraising computationally expensive. After a brief introdu
 ction of\nIsogeometric Analysis\,  I will discuss  ideas from\n[Sangalli a
 nd Tani\, CMAME\, 2018\, arXiv:1712.08565] and following works\, that allo
 w a computationally\nefficient k-refinement.\n
LOCATION:https://researchseminars.org/talk/CMWebinar/5/
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