<p>This book is devoted to a special class of engineering problems called <i>Bayesian inverse problems</i>. 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,
Bayesian Inverse Problems: Fundamentals and Engineering Applications
β Scribed by Juan Chiachio-Ruano; Manuel Chiachio-Ruano; Shankar Sankararaman
- Publisher
- CRC Press
- Year
- 2021
- Tongue
- English
- Leaves
- 289
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
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<p>Driven the advancement of industrial mathematics and the need for impact case studies,<b><i> Inverse Problems with Applications in Science and Engineering</i></b> thoroughly examines the state-of-the-art of some representative classes of inverse and ill-posed problems for partial differential equ
Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-des
Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-des
Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-des