Towards Optimal Sampling for Learning Sparse Approximations in High Dimensions
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-00832-0_2
Reference105 articles.
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3. B. Adcock, S. Brugiapaglia, Sparse approximation of multivariate functions from small datasets via weighted orthogonal matching pursuit, in Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018, vol. 134 of Lect. Notes Comput. Sci. Eng., ed. by S. Sherwin, D. Moxey, J. Peiró, P. Vincent, C. Schwab (Springer, Cham, Switzerland, 2020), pp. 611–621
4. B. Adcock, J.M. Cardenas, Near-optimal sampling strategies for multivariate function approximation on general domains. SIAM J. Math. Data Sci. 2(3), 607–630 (2020)
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