In this paper, we describe an adaptive refinement strategy for LR B-splines. The presented strategy ensures, at each iteration, local linear independence of the obtained set of LR B-splines. This property is then exploited in two applications: the construction of efficient quasi-interpolation schemes and the numerical solution of elliptic problems using the isogeometric Galerkin method. (C) 2020 The Author(s). Published by Elsevier B.V. This is an open access article under theCCBYlicense (http://creativecommons.org/licenses/by/4.0/).

Patrizi, F., Manni, C., Pelosi, F., Speleers, H. (2020). Adaptive refinement with locally linearly independent LR B-splines: Theory and applications. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 369 [10.1016/j.cma.2020.113230].

Adaptive refinement with locally linearly independent LR B-splines: Theory and applications

Pelosi, Francesca;
2020-01-01

Abstract

In this paper, we describe an adaptive refinement strategy for LR B-splines. The presented strategy ensures, at each iteration, local linear independence of the obtained set of LR B-splines. This property is then exploited in two applications: the construction of efficient quasi-interpolation schemes and the numerical solution of elliptic problems using the isogeometric Galerkin method. (C) 2020 The Author(s). Published by Elsevier B.V. This is an open access article under theCCBYlicense (http://creativecommons.org/licenses/by/4.0/).
2020
Patrizi, F., Manni, C., Pelosi, F., Speleers, H. (2020). Adaptive refinement with locally linearly independent LR B-splines: Theory and applications. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 369 [10.1016/j.cma.2020.113230].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1262036