Practical Inverse Analysis in Engineering (1997)

<p>Continuing advances in computer technology have made it possible for engineers and scientists to construct increasingly realistic models of physical processes. <em>Practical Inverse Analysis in Engineering</em> addresses an important area of engineering that will become even more significant to engineers and scientists - combining measurements with engineering models. This self-contained text presents applied mathematical tools for bridging the gap between real-world measurements and mathematical models.</p><p>The book demonstrates how to treat ill-conditioned inverse analysis problems - those problems where the solution is extremely sensitive to the data - with the powerful theory of dynamic programming. A second theory generalized-cross-validation is also discussed as a useful partner in handling real data. The material in the book much of it published for the first time presents theories in a general unified setting so readers can apply the information to their models. A disk containing DYNAVAL programming software lets readers try the methods presented in the text.</p>