Bayesian Inverse Problems: Fundamentals and Engineering Applications

This book is dedicated to Bayesian inverse problems, which involve probabilistic Bayesian formulations and stochastic simulation methods to solve engineering problems with empirical data and fundamental knowledge. It is written for a non-expert audience and contributed to by renowned academic experts.

Format: Paperback / softback
Length: 232 pages
Publication date: 29 January 2024
Publisher: Taylor & Francis Ltd

This comprehensive book delves into a unique realm of engineering challenges known as Bayesian inverse problems. These problems encompass not only the probabilistic Bayesian formulation of engineering challenges but also the indispensable stochastic simulation techniques required to solve them. By traversing the pages of this book, readers will gain invaluable insights into how this specialized class of methods can be effectively employed to tackle a diverse array of engineering problems where empirical data and fundamental knowledge play pivotal roles. Authored with a clear focus on a non-expert audience, this publication has been enriched by the contributions of numerous esteemed academic experts in the field. Through their expertise and insights, readers will be equipped with the tools and knowledge necessary to navigate the complexities of Bayesian inverse problems and unlock their full potential for addressing real-world engineering challenges.

Weight: 528g
Dimension: 176 x 254 x 17 (mm)
ISBN-13: 9781032112176