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Analysis and Computation of Hyperbolic PDEs with Random Data

Motamed, Mohammad
•
Nobile, Fabio  
•
Tempone, Raúl
2015
Encyclopedia of Applied and Computational Mathematics

Hyperbolic partial differential equations (PDEs) are mathematical models of wave phenomena, with applications in a wide range of scientific and engineering fields such as electromagnetic radiation, geosciences, fluid and solid mechanics, aeroacoustics, and general relativity. The theory of hyperbolic problems, including Friedrichs and Kreiss theories, has been well developed based on energy estimates and the method of Fourier and Laplace transforms [8, 16]. Moreover, stable numerical methods, such as the finite difference method [14], the finite volume method [17], the finite element method [6], the spectral method [4], and the boundary element method [11], have been proposed to compute approximate solutions of hyperbolic problems. However, the development of the theory and numerics for hyperbolic PDEs has been based on the assumption that all input data, such as coefficients, initial data, boundary and force terms, and computational domain, are exactly known.

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Type
book part or chapter
DOI
10.1007/978-3-540-70529-1_527
Author(s)
Motamed, Mohammad
•
Nobile, Fabio  
•
Tempone, Raúl
Date Issued

2015

Journal
Encyclopedia of Applied and Computational Mathematics
Start page

51

End page

58

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CSQI  
Available on Infoscience
July 26, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/128126
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