• Imparts a quick and practical understanding of the physical background and inverse analysis tools used in the nondestructive evaluation of solids and structures
• Clearly describes the nature and characteristics of inverse problems
• Presents effective regularization and optimization techniques developed by the author's research group and many others
• Closely examines and numerically tests a variety of computational techniques with examples of force/source reconstruction, crack detection, flaw identification, and material characterization
• Presents broad applications of computational inverse techniques in other important areas, including MEMS, electronic systems, life science, and nano-technology

Ill-posedness. Regularization. Stability. Uniqueness. To many engineers, the language of inverse analysis projects a mysterious and frightening image, an image made even more intimidating by the highly mathematical nature of most texts on the subject. But the truth is that given a sound experimental strategy, most inverse engineering problems can be well-posed and not difficult to deal with.

Computational Inverse Techniques in Nondestructive Evaluation sets forth in clear, easy-to-understand terms the principles, computational methods, and algorithms of inverse analyses based on elastic waves or the dynamic responses of solids and structures. After describing the features of inverse problems, the authors discuss the regularization methods useful in handling ill-posed problems... The book also presents practical optimization algorithms, including some developed and successfully tested by his research group.

Inverse analyses are fast becoming one of the engineer's most powerful tools in nondestructive evaluation and testing. With straightforward examples, a wealth of specific applications, and clear exposition written by engineers for engineers, this book offers an outstanding opportunity to overcome any trepidation and begin using inverse analysis in practice.