Practical Inverse Analysis in Engineering (1997)

Nonfiction, Science & Nature, Mathematics, Applied, Technology, Engineering, Mechanical
Cover of the book Practical Inverse Analysis in Engineering (1997) by David M Trujillo, Henry R Busby, CRC Press
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Author: David M Trujillo, Henry R Busby ISBN: 9781351359153
Publisher: CRC Press Publication: November 22, 2017
Imprint: CRC Press Language: English
Author: David M Trujillo, Henry R Busby
ISBN: 9781351359153
Publisher: CRC Press
Publication: November 22, 2017
Imprint: CRC Press
Language: English

Continuing advances in computer technology have made it possible for engineers and scientists to construct increasingly realistic models of physical processes. Practical Inverse Analysis in Engineering 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.
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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Continuing advances in computer technology have made it possible for engineers and scientists to construct increasingly realistic models of physical processes. Practical Inverse Analysis in Engineering 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.
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.

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