Best N Term Approximation Spaces for Tensor Product Wavelet Bases
By Pál-Andrej Nitsche. 2006
47 citations recorded by the source corpus.
Subfields: Applied Mathematics, Computational Mechanics, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/50727f48bf84bd8d88d8b8f142bc8ae55f5af447
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- Vladimir N. Temlyakov
- Markus Hansen
- D. Dung
- Tino Ullrich
- Boris N. Khoromskij
- Wolfgang Hackbusch
- Reinhold Schneider
- Heinz-Jürgen Flad
In Computational Mechanics
- Reinhold Schneider
- Boris N. Khoromskij
- Heinz-Jürgen Flad
- Markus Bachmayr
- Markus Hansen
- Wolfgang Hackbusch
- Wolfgang Dahmen
- D. Dung
In Numerical Analysis
- Boris N. Khoromskij
- Reinhold Schneider
- Wolfgang Hackbusch
- Vladimir N. Temlyakov
- Heinz-Jürgen Flad
- Markus Hansen
- D. Dung
- Tino Ullrich
Citations in the corpus
- Adaptive low rank wavelet methods and applications to two-electron Schrödinger equations (2012, background): “We refer to [116, 131] for further details on the construction of such tensor product spaces.”
- Concepts of Data-Sparse Tensor-Product Approximation in Many-Particle Modelling (2008, background): “[71]) have considered point singularities, and demonstrated that an adaptive sparse grid approximation works well.”
- Hyperbolic Cross Approximation (2016, background): “4) This has been already observed in [303], see also [248].”
- On tensor products of quasi-Banach spaces (2010, methodology): “The proof is based on an argument by Nitsche [16].”