Handbook of Uncertainty Quantification, 3 Teile

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.      

List of contents

Preliminaries.- methodology.-sensitivity analysis.- forward problems.- risk.- codes of practise and factors of safety.- software.      

About the author

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.    

Summary

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.      

Report

   

Product details

• Assisted by: Roger Ghanem (Editor), Davi Higdon (Editor), David Higdon (Editor), Houman Owhadi (Editor), Howman Owhadi (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.01.2017
• EAN: 9783319123844
• ISBN: 978-3-31-912384-4
• No. of pages: 2053
• Dimensions: 157 mm x 242 mm x 93 mm
• Weight: 4309 g
• Illustrations: XXV, 2053 p. 520 illus., 424 illus. in color. In 3 volumes, not available separately.
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; A, Statistics, Mathematics and Statistics, Mathematical and Computational Engineering, Probability Theory and Stochastic Processes, Probability & statistics, Probabilities, Stochastics, Probability Theory, Engineering mathematics, Applied mathematics, Mathematical and Computational Engineering Applications, Maths for engineers