Non-Gaussian positive-definite matrix-valued random fields for elliptic stochastic partial differential operators
By Christian Soize. 2006
215 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Environmental Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/228c86c9449ff3e2c2ece426d14a48fc7f343bcc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- A. Clément
- Franck Schoefs
- Nicolas Moës
- Anthony Nouy
- George Stefanou
- Alireza Doostan
- Houman Owhadi
- Stéphane P.A. Bordas
In Environmental Engineering
In Statistics and Probability
- Anthony Nouy
- A. Clément
- Nicolas Moës
- Franck Schoefs
- George Stefanou
- Sondipon Adhikari
- Mathilde Chevreuil
- Antonio Falcó
Citations in the corpus
- Generalized spectral decomposition method for solving stochastic finite element equations : Invariant subspace problem and dedicated algorithms (2008, background): “Under classical regularity assumptions on the data (see [4,35]), i.”
- An extended stochastic finite element method for solving stochastic partial differential equations on random domains (2008, background): “In the case of a deterministic domain, the reader can refer to [2,27] for a detailed and comprehensive study of the regularity requirements on the data (C, f and F ) leading to the desired properties.”
- Recent Developments in Spectral Stochastic Methods for the Numerical Solution of Stochastic Partial Differential Equations (2009, background): “Well-posedness of problem (35) still results from a similar analysis of forms A and B [5, 9, 16, 39, 83, 119].”