Название: Bayesian Inverse Problems: Fundamentals and Engineering Applications
Автор: Juan Chiachio-Ruano, Manuel Chiachio-Ruano, Shankar Sankararaman
Издательство: CRC Press
Год: 2022
Страниц: 249
Язык: английский
Формат: pdf (true)
Размер: 11.5 MB
This book is devoted to a special class of engineering problems called Bayesian inverse problems. These problems comprise not only the probabilistic Bayesian formulation of engineering problems, but also the associated stochastic simulation methods needed to solve them. Through this book, the reader will learn how this class of methods can be useful to rigorously address a range of engineering problems where empirical data and fundamental knowledge come into play. The book is written for a non-expert audience and it is contributed to by many of the most renowned academic experts in this field.
Автор: Juan Chiachio-Ruano, Manuel Chiachio-Ruano, Shankar Sankararaman
Издательство: CRC Press
Год: 2022
Страниц: 249
Язык: английский
Формат: pdf (true)
Размер: 11.5 MB
This book is devoted to a special class of engineering problems called Bayesian inverse problems. These problems comprise not only the probabilistic Bayesian formulation of engineering problems, but also the associated stochastic simulation methods needed to solve them. Through this book, the reader will learn how this class of methods can be useful to rigorously address a range of engineering problems where empirical data and fundamental knowledge come into play. The book is written for a non-expert audience and it is contributed to by many of the most renowned academic experts in this field.