An Adaptive Wavelet Method for Semi-Linear First-Order System Least Squares

Authors
Publication date 2015
Journal Computational methods in applied mathematics
Volume | Issue number 15 | 4
Pages (from-to) 439-463
Organisations
  • Faculty of Science (FNWI) - Korteweg-de Vries Institute for Mathematics (KdVI)
Abstract We design an adaptive wavelet scheme for solving first-order system least-squares formulations of second-order elliptic PDEs that converge with the best possible rate in linear complexity. A wavelet Riesz basis is constructed for the space H⃗ 0,ΓN(div;Ω) on general polygons. The theoretical findings are illustrated by numerical experiments.

Document type Article
Language English
Published at https://doi.org/10.1515/cmam-2015-0023
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