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- W2404297914 abstract "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 <m:math xmlns:m=http://www.w3.org/1998/Math/MathML> <m:mrow> <m:msub> <m:mover accent=true> <m:mi>H</m:mi> <m:mo>→</m:mo> </m:mover> <m:mrow> <m:mn>0</m:mn> <m:mo>,</m:mo> <m:msub> <m:mi>Γ</m:mi> <m:mi>N</m:mi> </m:msub> </m:mrow> </m:msub> <m:mrow> <m:mo>(</m:mo> <m:mo form=prefix>div</m:mo> <m:mo>;</m:mo> <m:mi>Ω</m:mi> <m:mo>)</m:mo> </m:mrow> </m:mrow> </m:math> $vec{H}_{0,Gamma _N}(operatorname{div};Omega )$ on general polygons. The theoretical findings are illustrated by numerical experiments." @default.
- W2404297914 created "2016-06-24" @default.
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- W2404297914 date "2015-08-27" @default.
- W2404297914 modified "2023-10-17" @default.
- W2404297914 title "An Adaptive Wavelet Method for Semi-Linear First-Order System Least Squares" @default.
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