Analytic regularity and polynomial approximation of parametric and stochastic elliptic PDEs
By Albert Cohen, Ronald A. DeVore, Christoph Schwab. 2010
176 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Numerical Analysis, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8da8d93f964fab6c1c52de7dbee96eac3586efc8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Christine Tobler
- Christoph Schwab
- Daniel Kressner
- Fabio Nobile
- Raúl Tempone
- Claude Jeffrey Gittelson
- Lorenzo Tamellini
- Boris N. Khoromskij
In Numerical Analysis
- Fabio Nobile
- Christoph Schwab
- Raúl Tempone
- Claude Jeffrey Gittelson
- Christine Tobler
- Daniel Kressner
- Lorenzo Tamellini
- Joakim Beck
In Statistics and Probability
- Christoph Schwab
- Fabio Nobile
- Claude Jeffrey Gittelson
- Raúl Tempone
- Christine Tobler
- Daniel Kressner
- Lorenzo Tamellini
- Albert Cohen
Citations in the corpus
- Low-Rank Tensor Krylov Subspace Methods for Parametrized Linear Systems (2011, background): “The following lemma, attributed to Stechkin in [11], will prove very useful for this purpose.”
- Sparse tensor discretizations of high-dimensional parametric and stochastic PDEs* (2011, methodology): “We have the following analogue to Lemma 3.5 from Cohen et al. (2011). at https:/www.cambridge.org/core/terms. https://doi.org/10.1017/S0962492911000055 Downloaded from https:/www.cambridge.org/core.”
- ON THE OPTIMAL POLYNOMIAL APPROXIMATION OF STOCHASTIC PDES BY GALERKIN AND COLLOCATION METHODS (2012, background): “Seminal works in this direction are [5, 8, 7], where estimates of the decay of the Legendre coefficients are provided.”