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Showing 2014 · math.NAShow all
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math.NA2014
Sampling on energy-norm based sparse grids for the optimal recovery of Sobolev type functions in
Glenn Byrenheid, Dinh Dũng, Winfried Sickel +1
We investigate the rate of convergence of linear sampling numbers of the embedding . Here governs the mixed smoothness…
math.NA2014★ 1 cited
On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems
Daniel Kressner, André Uschmajew
Low-rank tensor approximation techniques attempt to mitigate the overwhelming complexity of linear algebra tasks arising from high-dimensional applications. In this work, we study…