Mathematical Modeling - Engineering & Technology, Thermodynamics, Mathematical Equations - Differential
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Overview
The shortest definition of inverse problems describes them as discovering the cause from a known result. Hence, in fact, all problems of observed data interpretation are inverse. As a consequence, inverse problems can be encountered anywhere: from medical to engineering sciences. They arise in electrodynamics, geophysics, astrophysics, plasma diagnostics and many other fields. Typical inverse problems are: interpretation of electrocardiograms, image processing, tomography diagnostics. Inverse Thermal Problems involve the evaluation of boundary or initial conditions as well as thermal properties of a body from the remaining boundary or some internal conditions. This encompasses the thermal designing, process controlling, optimum planning of experiments and experimental results interpretation. The principal goal of the book is to present a comprehensive study of efficient methods for solving inverse thermal problems. It concentrates on the practical aspects of the application of inverse methods, and on general techniques rather than specialized procedures. The book will be of particular interest to engineering students, researchers and professional engineers, especially to those who are involved in thermal engineering. The book will also be of interest to those involved in energy systems, aerospace, chemical engineering and mechanical engineering generally.Editorials
Booknews
Explains how to use mathematical modeling methods to solve inverse thermal problems, which involve the evaluation of boundary or initial conditions as well as thermal properties of a body from the remaining boundary or some internal conditions. This encompasses the thermal designing, process controlling, the optimum planning of experiments, and interpreting experimental results. Addressed to engineering students, researchers, and professionals, but assumes only a rudimentary knowledge of heat transfer, computer programming, and numerical methods. Annotation c. Book News, Inc., Portland, OR (booknews.com)Book Details
Published
December 1, 1995
Publisher
Computational Mechanics
Pages
280
Format
Hardcover
ISBN
9781562522001