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SUMMARY:Elisabeth Larsson (Uppsala Universitet\, Sweden)
DTSTART:20211005T140000Z
DTEND:20211005T150000Z
DTSTAMP:20260423T052451Z
UID:SNAP/12
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/SNAP/12/">Lo
 calized least-squares radial basis function methods for PDEs</a>\nby Elisa
 beth Larsson (Uppsala Universitet\, Sweden) as part of Seminars on Numeric
 s and Applications\n\n\nAbstract\nRadial basis function (RBF) approximatio
 n methods are attractive\nfor solving PDEs due to their flexibility with r
 espect to geometry\,\nthe potential for high-order accuracy\, and their ea
 se of use.\nSince global approximations come with a high computational cos
 t\,\nthe trend has been towards localized approximations.\nThe two main cl
 asses are stencil-based methods (RBF-FD) and partition\nof unity methods (
 RBF-PUM). These are cost efficient and work well.\nHowever\, it has been d
 ifficult to derive complete convergence\nproofs for the collocation method
 s. Recently\, several authors have\ninvestigated  how to introduce oversam
 pling into the PDE solution procedures.\nThis improves the approximation s
 tability\, and the least-square versions\nof the methods can be computatio
 nally competitive compared with their\ncollocation counterparts. Furthermo
 re\, for the least-squares methods\nwe are able to derive convergence proo
 fs using approaches based on the\ncontinuous approximation problem. In thi
 s talk\, we present recent algorithmic\nand theoretical developments as we
 ll as numerical results for a variety of PDE problems.\n
LOCATION:https://researchseminars.org/talk/SNAP/12/
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