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Epilogue

  • O. P. Le MaîtreEmail author
  • O. M. Knio
Chapter
  • 3.4k Downloads
Part of the Scientific Computation book series (SCIENTCOMP)

Abstract

In the preceding chapters theoretical developments were presented of uncertainty propagation and quantification methods. The fundamental approach generally adopted in this monograph is based on the development of spectral representations of the input data and model solution, and on exploiting these representations in the construction of numerical methods and computational algorithms for the solution and analysis of stochastic systems. Application of these methods was illustrated through elementary examples as well as more involved problems from incompressible and weakly compressible flow. In conclusion, we provide a brief discussion of selected topics, which we attempt to group into the following (somewhat connected) categories: (a) potential extensions of methodologies outlined in previous chapters, (b) open problems, and (c) new desirable capabilities.

Keywords

Limit Cycle Oscillation Input Uncertainty Stochastic Solution Stochastic PDEs Multiscale Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.LIMSI-CNRSUniversité Paris-Sud XIOrsay cedexFrance
  2. 2.Department of Mechanical EngineeringThe Johns Hopkins UniversityBaltimoreUSA

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