Handbook of Uncertainty Quantification

  • Roger Ghanem
  • David Higdon
  • Houman Owhadi
Living reference work

Table of contents

  1. Zhen Jiang, Paul D. Arendt, Daniel W. Apley, Wei Chen
    Pages 1-59
  2. Roger Ghanem, John Red-Horse
    Pages 1-31
  3. William Becker, Paolo Paruolo, Michaela Saisana, Andrea Saltelli
    Pages 1-30
  4. Michael S. Eldred, Leo W. T. Ng, Matthew F. Barone, Stefan P. Domino
    Pages 1-45
  5. Houman Owhadi, Clint Scovel
    Pages 1-35
  6. Emanuele Borgonovo, Bertrand Iooss
    Pages 1-23
  7. Michaël Baudin, Anne Dutfoy, Bertrand Iooss, Anne-Laure Popelin
    Pages 1-38
  8. Vincent A. Mousseau, Brian J. Williams
    Pages 1-37
  9. James L. Beck, Konstantin M. Zuev
    Pages 1-26
  10. Robert D. Moser, Todd A. Oliver
    Pages 1-28
  11. Sergey Kucherenko, Bertrand Iooss
    Pages 1-24
  12. Youssef Marzouk, Tarek Moselhy, Matthew Parno, Alessio Spantini
    Pages 1-41
  13. Daniele Venturi, Heyrim Cho, George Em Karniadakis
    Pages 1-36
  14. Roger Ghanem, David Higdon, Houman Owhadi
    Pages 1-4
  15. Clémentine Prieur, Stefano Tarantola
    Pages 1-23
  16. Dan M. Frangopol, Benjin Zhu, Mohamed Soliman
    Pages 1-25

About this book

Introduction

The topic of Uncertainty Quantification (UQ) has witnessed massive developments in response to the promise of achieving risk mitigation through scientific prediction. It has led to the integration of ideas from mathematics, statistics and engineering being used to lend credence to predictive assessments of risk but also to design actions (by engineers, scientists and investors) that are consistent with risk aversion. The objective of this Handbook is to facilitate the dissemination of the forefront of UQ ideas to their audiences. We recognize that these audiences are varied, with interests ranging from theory to application, and from research to development and even execution.

Keywords

Polynomial Chaos Risk Analysis Risk Models Sensitivity Analysis Uncertainty Quantification

Editors and affiliations

  • Roger Ghanem
    • 1
  • David Higdon
    • 2
  • Houman Owhadi
    • 3
  1. 1.Viterbi School of EngineeringUniversity of Southern CaliforniaLos AngelesUSA
  2. 2.Los Alamos National LaboratoryLos AlamosUSA
  3. 3.California Institute of Technology PasadenaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-11259-6
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Online ISBN 978-3-319-11259-6