Inverse Engineering Handbook
1st Edition
Published on 25. September 2002
480 pages
978-1-4200-4161-3 (ISBN)
Description
Inverse problems have been the focus of a growing number of research efforts over the last 40 years-and rightly so. The ability to determine a "cause" from an observed "effect" is a powerful one. Researchers now have at their disposal a variety of techniques for solving inverse problems, techniques that go well beyond those useful for relatively si
Reviews / Votes
"...serves as a good introduction and tutorial for this important area of applied mathematics. Several of the articles provide extensive MATLAB codes for specific problems."--James E. Epperson, Mathematical Reviews, 2004
More details
Series
Language
English
Place of publication
Baton Rouge
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Professors, students, practitioners, and researchers in mechanical and other fields of engineering
Short TOC
Illustrations
184 s/w Abbildungen, 60 s/w Tabellen
184 b/w images, 60 tables and 1054 equations
File size
9,82 MB
ISBN-13
978-1-4200-4161-3 (9781420041613)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Keith A. Woodbury
Inverse Engineering Handbook
E-Book
04/2026
2nd Edition
CRC Press
€231.99
Available for download
Additional editions
Keith A. Woodbury
Inverse Engineering Handbook
Book
09/2002
1st Edition
CRC Press
€387.70
Article not available at the moment
Content
Sequential Methods in Parameter Estimation. Function Estimation Using the Sequential Function Specification Method. Numerical Solutions of Inverse Problems. Mollification and Space Marching. Inverse Heat Conduction Using Monte Carlo Method. Boundary Element Techniques for Inverse Problems. The Effect of Correlations and Uncertain Parameters on the Efficiency of Estimating and the Precision of Estimated Parameters. Optimal Experiment Design to Solve Inverse Heat Transfer Problems. Iterative Regularization
