On the approximation of vector-valued functions by volume sampling
Author:
Funder
Deutsche Forschungsgemeinschaft
Publisher
Elsevier BV
Reference19 articles.
1. Deep neural networks are effective at learning high-dimensional Hilbert-valued functions from limited data;Adcock,2022
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3. Convergence rates for greedy algorithms in reduced basis methods;Binev;SIAM J. Math. Anal.,2011
4. A priori convergence of the greedy algorithm for the parametrized reduced basis method;Buffa;ESAIM: Math. Model. Numer. Anal.,2012
5. Low-rank approximation in the Frobenius norm by column and row subset selection;Cortinovis;SIAM J. Matrix Anal. Appl.,2020
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