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Numerical Methods for Inverse Problems (Mathematics and Statistics), by Michel Kern
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This book studies methods to concretely address inverse problems. An inverse problem arises when the causes that produced a given effect must be determined or when one seeks to indirectly estimate the parameters of a physical system.
The author uses practical examples to illustrate inverse problems in physical sciences. He presents the techniques and specific methods chosen to solve inverse problems in a general domain of application, choosing to focus on a small number of methods that can be used in most applications.
This book is aimed at readers with a mathematical and scientific computing background. Despite this, it is a book with a practical perspective. The methods described are applicable, have been applied, and are often illustrated by numerical examples.
- Sales Rank: #3786133 in eBooks
- Published on: 2016-03-31
- Released on: 2016-03-31
- Format: Kindle eBook
Review
"The book is very carefully written, in a reader-friendly style. It can be considered as an introductory textbook for the theory of ill-posed problems and their numerical solution." (Mathematical Reviews/MathSciNet 11/05/2017)
About the Author
Michel Kern is a research scientist in the Serena group at the Inria Research Center in Paris, France
Most helpful customer reviews
0 of 0 people found the following review helpful.
Great Book
By Brendan
I'm taking a statistics/inverse problem class and this book explains relevant topics in an intelligible manner. The way the chapters are arranged makes the book sensible and coherent as well
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