Uncertainty quantification for nonlinear difference equations with dependent random inputs via a stochastic Galerkin projection technique-Reference-Cited by-同舟云学术

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Uncertainty quantification for nonlinear difference equations with dependent random inputs via a stochastic Galerkin projection technique

Published:2019-06 Issue: Volume:72 Page:108-120
ISSN:1007-5704
Container-title:Communications in Nonlinear Science and Numerical Simulation
language:en
Short-container-title:Communications in Nonlinear Science and Numerical Simulation

Author:

Calatayud J.,Cortés J.-C.^ORCID,Jornet M.^ORCID

Publisher

Elsevier BV

Subject

Applied Mathematics,Modelling and Simulation,Numerical Analysis

Reference30 articles.

1. Uncertainty quantification. theory, implementation, and application;Smith;SIAM Comput Sci Eng,2014

2. Numerical methods for stochastic computations. a spectral method approach;Xiu,2010

3. The Wiener–Askey polynomial chaos for stochastic differential equations;Xiu;SIAM J Sci Comput,2002

4. Random differential equations in science and engineering;Soong,1973

5. Random ordinary differential equations;Strand;J Differ Equ,1970

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