
Handbook of Uncertainty Quantification
Springer (Publisher)
Published on 29. June 2017
Book
Hardback
XXV, 2053 pages
978-3-319-12384-4 (ISBN)
Description
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.
More details
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
96 s/w Abbildungen, 424 farbige Abbildungen
XXV, 2053 p. 520 illus., 424 illus. in color. In 3 volumes, not available separately.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
3750 gr
ISBN-13
978-3-319-12384-4 (9783319123844)
DOI
10.1007/978-3-319-12385-1
Schweitzer Classification
Other editions
Additional editions

Roger Ghanem | David Higdon | Houman Owhadi
Handbook of Uncertainty Quantification
Book
06/2017
Springer
€1,604.99
Article exhausted; check different version
Persons
Roger Ghanem is the Gordon S. Marshall Professor of Engineering at the University of Southern California where he holds joint appointments in the Departments of Civil & Environmental Engineering and Mechanical & Aerospace Engineering.
David Higdon is Scientists and Group Leader in Statistical Sciences at Los Alamos National Laboratories. He has developed statistical concepts and methodologies that are uniquely adapted to modeling and simulation and computationally intensive numerical models
Houman Owhadi is a Professor of Applied & Computational Mathematics and Control & Dynamical Systems at the California Institute of Technology.
Content
Preliminaries.- methodology.-sensitivity analysis.- forward problems.- risk.- codes of practise and factors of safety.- software.