Comparison of clenshaw–curtis and leja quasi-optimal sparse grids for the approximation of random PDEs

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Abstract

In this work we compare different families of nested quadrature points, i. e. the classic Clenshaw–Curtis and various kinds of Leja points, in the context of the quasi-optimal sparse grid approximation of random elliptic PDEs. Numerical evidence suggests that both families perform comparably within such framework.

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Nobile, F., Tamellini, L., & Tempone, R. (2015). Comparison of clenshaw–curtis and leja quasi-optimal sparse grids for the approximation of random PDEs. In Lecture Notes in Computational Science and Engineering (Vol. 106, pp. 475–482). Springer Verlag. https://doi.org/10.1007/978-3-319-19800-2_44

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