Bayesian Approach to Inverse Problems 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Bayesian Approach to Inverse Problems

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Jérôme Idier 作者
译者
2008-6 出版日期
392 页数
$ 184.00 价格
丛书系列
9781848210325 图书编码

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发表于2024-11-28


Bayesian Approach to Inverse Problems 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Bayesian Approach to Inverse Problems 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Bayesian Approach to Inverse Problems 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Bayesian Approach to Inverse Problems 在线电子书 图书描述

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-destructive evaluation. The concept of inverse problems precisely originates from the idea of inverting the laws of physics to recover a quantity of interest from measurable data. Unfortunately, most inverse problems are ill-posed, which means that precise and stable solutions are not easy to devise. Regularization is the key concept to solve inverse problems. The goal of this book is to deal with inverse problems and regularized solutions using the Bayesian statistical tools, with a particular view to signal and image estimation. The first three chapters bring the theoretical notions that make it possible to cast inverse problems within a mathematical framework. The next three chapters address the fundamental inverse problem of deconvolution in a comprehensive manner. Chapters 7 and 8 deal with advanced statistical questions linked to image estimation. In the last five chapters, the main tools introduced in the previous chapters are put into a practical context in important applicative areas, such as astronomy or medical imaging.

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