Machine Learning and Bayesian Methods in Inverse Heat Transfer

Name: Machine Learning and Bayesian Methods in Inverse Heat Transfer
Brand: Elsevier
SKU: 9780443367915
Price: 18760.0 INR
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by Balaji Srinivasan , C. Balaji

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ISBN13: 9780443367915
Binding: Paperback
Subject: N/A
Publisher: Elsevier
Publisher Imprint: Elsevier
Publication Date: March 10, 2026
Pages: 310
Original Price: USD 200.0
Language: English
Edition: N/A
Item Weight: 450 grams
BISAC Subject(s): Power Resources / General

About The Book

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 hands-on approach with practical examples, making complex concepts accessible to readers seeking to deepen their understanding of this critical field. The text covers essential topics including Introduction to Inverse Problems, Statistical Description of Errors and General Approach, Classical Techniques, Bayesian Methods, and a Machine Learning Approach to Inverse Problems. Readers will explore key concepts such as Gaussian distribution, linear and non-linear regression, Gauss-Newton algorithm, Tikhonov regularization, and more, gaining a solid foundation in applying these methods to real-world heat transfer scenarios. For engineers, scientists, senior undergraduates, graduates, and researchers in heat transfer and related fields, this book serves as a vital resource. By offering clear explanations, practical examples, and MATLAB codes, it empowers readers to tackle inverse problems with confidence. Whether readers are practicing engineers or graduate students specializing in heat and mass transfer, this book equips them with the tools and knowledge to excel and further advances in their field.

About The Author

Balaji, C.: - Professor C. Balaji is currently a Professor in the Department of Mechanical Engineering at the Indian Institute of Technology (IIT) Madras, Chennai. Balaji brings over 25 years of experience in teaching and research. His areas of interest include heat transfer, optimization, computational radiation, atmospheric radiation, and inverse heat transfer. He is currently Editor-in-Chief of Elsevier's International Journal of Thermal Sciences.

Srinivasan, Balaji: - Dr. Balaji Srinivasan is currently an Associate Professor in the Department of Mechanical Engineering at the Indian Institute of Technology (IIT) Madras, Chennai. His areas of research interest include computational fluid dynamics, numerical analysis, turbulence, and applied machine learning.

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