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OverviewInverse Engineering Handbook, Second Edition, is a comprehensive resource that details methods of determining a “cause” from an observed “effect,” allowing readers to understand, implement, and benefit from a variety of problem-solving techniques. Leading experts in inverse problems have joined to produce a new edition of Inverse Engineering Handbook. Along with the revision of the existing chapters, this second edition includes four new chapters: a new chapter on the classical Tikhonov regularization technique, a new chapter on the topic of filter coefficient concepts for linear problems, a chapter dedicated to Bayesian solutions of inverse problems, and finally, a new chapter on machine learning and artificial intelligence. The focus of most of the work in this new edition is on parabolic and elliptic problems typified by transient and steady-state heat conduction; however, the scope of application extends to any mathematically similar problems (in chemical transport, mass transfer, etc.). Engineering researchers interested in inverse problems, regardless of their specialty, will find the Inverse Engineering Handbook, Second Edition, a unique and invaluable compendium of up-to-date techniques. Full Product DetailsAuthor: Keith A. WoodburyPublisher: Taylor & Francis Ltd Imprint: CRC Press Edition: 2nd edition ISBN: 9781032868813ISBN 10: 1032868813 Pages: 681 Publication Date: 30 April 2026 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Forthcoming Availability: Not yet available This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of Contents• Sequential Methods in Parameter Estimation • Sequential Function Specification Method • Tikhonov Regularization and Optimal Regularization • Filter Coefficient Concepts in Inverse Problems • The Adjoint Method to Compute the Numerical Solutions of Inverse Problems • The Effect of Correlations and Uncertain Parameters on the Efficiency of Estimating and the Precision of Estimated Parameters • Bayesian Methods for Inverse Problems • Machine Learning and Artificial Intelligence for Inverse Problems • Mollification and Space Marching • Inverse Heat Conduction Using Monte Carlo Method • Boundary Element Techniques for Inverse Problems • Optimal Experiment Design To Solve Inverse Heat Transfer ProblemsReviewsAuthor InformationKeith A. Woodbury is Professor Emeritus in Mechanical Engineering at The University of Alabama, USA. He holds BS and MS degrees in Mechanical Engineering from The University of Alabama and earned his PhD in Mechanical Engineering at Virginia Polytechnic Institute and State University (Virginia Tech) in 1984. From 1984 to 1988, Dr. Woodbury conducted research for Reynolds Aluminum in the Metallurgical Research Division, focusing primarily on thermal challenges in ingot production and hot rolling operations. He joined the faculty at the University of Alabama in 1988 and retired from active faculty after 33 years in 2021. He is a Fellow of the ASME and served as associate editor of Inverse Problems in Science and Engineering. Dr. Woodbury authored over 100 articles and 2 books, contributed 14 book chapters, and organized or co-organized countless sessions, symposia, and international conferences on inverse problems since 1990. Tab Content 6Author Website:Countries AvailableAll regions |
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