Inverse Engineering Handbook

Research in inverse problems have grown significantly over the last 40 years, and engineers no longer have only trial-and-errors methods at their disposal for solving some of their most challenging questions. This handbook brings together a variety of techniques for solving inverse problems, presented by experts in a succinct form suitable for implementation into computer algorithms. It introduces the material with methods for parameter estimation problems, which builds a bridge to the boundary function estimation problem. The methods include sequential function estimation, mollification and space marching techniques, adjoint methods, and gradient-based solution methods.

List of contents

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

About the author

Woodbury\, Keith A.

Summary

Allows readers to understand, implement, and benefit from a variety of inverse problem-solving techniques. This book addresses techniques such as sequential function estimation, mollification, space marching techniques, and adjoint, Monte Carlo, and gradient-based methods.

Product details

• Assisted by: Keith A. Woodbury (Editor), Keith A. (University of Alabama Woodbury (Editor), Woodbury Keith A. (Editor)
• Publisher: Taylor and Francis
• Languages: English
• Product format: Hardback
• Released: 25.09.2002
• EAN: 9780849308611
• ISBN: 978-0-8493-0861-1
• No. of pages: 480
• Weight: 780 g
• Illustrations: schwarz-weiss Illustrationen, Tabellen, schwarz-weiss
• Series: Handbook Series for Mechanical Engineering
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Analysis; TECHNOLOGY & ENGINEERING / Mechanical, TECHNOLOGY & ENGINEERING / Civil / General, MATHEMATICS / Differential Equations / General, Mechanical Engineering, Materials science, Differential calculus & equations, TECHNOLOGY & ENGINEERING / Materials Science / General, Differential calculus and equations