An introduction to the Hilbert-Schmidt SVD using iterated Brownian bridge kernels

Author:

Cavoretto Roberto,Fasshauer Gregory E.,McCourt Michael

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics

Reference45 articles.

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2. Allasia, G., Cavoretto, R., De Rossi, A.: Numerical integration on multivariate scattered data by Lobachevsky splines. Int. J. Comput. Math. 90(9), 2003–2018 (2013)

3. Beatson, R.K., Light, W.A., Billings, S.: Fast solution of the radial basis function interpolation equations: domain decomposition methods. SIAM. J. Sci. Comput. 22, 1717–1740 (2000)

4. Berlinet, A., Thomas-Agnan, C.: Reproducing Kernel Hilbert Spaces in Probability and Statistics. Springer (2004)

5. de Boor, C.: On interpolation by radial polynomials. Adv. Comput. Math. 24(1–4), 143–153 (2006)

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