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PDF Ebook Numerical Methods for Inverse Problems (Mathematics and Statistics)By Michel Kern

PDF Ebook Numerical Methods for Inverse Problems (Mathematics and Statistics)By Michel Kern

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Numerical Methods for Inverse Problems (Mathematics and Statistics)By Michel Kern

Numerical Methods for Inverse Problems (Mathematics and Statistics)By Michel Kern


Numerical Methods for Inverse Problems (Mathematics and Statistics)By Michel Kern


PDF Ebook Numerical Methods for Inverse Problems (Mathematics and Statistics)By Michel Kern

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Numerical Methods for Inverse Problems (Mathematics and Statistics)By Michel Kern

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.

  • Amazon Sales Rank: #3710677 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

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Numerical Methods for Inverse Problems (Mathematics and Statistics)By Michel Kern PDF
Numerical Methods for Inverse Problems (Mathematics and Statistics)By Michel Kern PDF

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