Overview

This text develops a methodology for solving ill-posed heat transfer problems. It describes the systematization and formulation of various inverse problems and their application in the diagnosis and identification of heat transfer processes. Various methods and algorithms of inverse problem solving are presented and compared, and recommendations on how to use them are given. Particular attention is paid to iterative regularization as one of the most effective and rapidly developing methods in the theory of ill-posed inverse problems for systems with distributed parameters. The methods described in the book find important practical applications in various areas of engineering. Many examples are given and methods and algorithms are illustrated by numerical results.

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9783540536796

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