Computational Fluid Mechanics and Heat Transfer – Richard H. Pletcher John C. Tannehill and Dale A. Anderson

Introduction Computational Fluid Dynamics (CFD) is a branch of fluid mechanics that uses numerical methods to solve and analyze fluid flow problems. It has become an essential tool in various fields such as aerospace, automotive, oil and gas, and many more. CFD is used to simulate and predict the behavior of fluid flow, heat transfer,
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Bayesian Reasoning and Machine Learning – David Barber

Bayesian reasoning and machine learning are two powerful tools that have revolutionized the field of artificial intelligence. At the forefront of this advancement is David Barber, a well-known computer scientist and author whose work has greatly contributed to the development of these fields. David Barber is a Professor of Applied Mathematics and Professor of Computer
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