Abstract
Inverse problems are ubiquitous in all areas of radiative heat transfer. They can broadly be categorized as inverse design problems, with the goal of inferring a design configuration that satisfies an engineering requirement, and parameter estimation problems, in which an unknown parameter or set of parameters is inferred from measurement data. Both problem types are mathematically ill-posed, due to the fact that the available information is either barely adequate or inadequate to identify a unique or stable solution. This chapter reviews the mathematical properties of inverse problems, along with inverse analysis schemes that have been used to solve inverse problems that arise in radiative transfer. This is followed by a summary of inverse design and parameter estimation problems reported in the literature, along with detailed case studies for an inverse boundary condition design problem and a parametric estimation problem focused on inferring the soot aggregate size distribution from light scattering measurements.
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Daun, K.J. (2018). Inverse Problems in Radiative Transfer. In: Handbook of Thermal Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-26695-4_64
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DOI: https://doi.org/10.1007/978-3-319-26695-4_64
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