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Machine Learning and Bayesian Methods in Inverse Heat Transfer offers a comprehensive exploration of inverse problems in heat transfer, blending classical techniques with modern advancements in machine learning and Bayesian methods. This essential guide provides a...
This book aims at providing a computational framework of radiative heat transfer in participating media. The book mainly helps engineers and researchers develop their own codes for radiative transfer analysis, starting from simple benchmark problems and extending...
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