Computational Methods for Inverse Problems 1st Edition by Curtis R. Vogel (PDF)

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Ebook Info

  • Published: 2002
  • Number of pages: 183 pages
  • Format: PDF
  • File Size: 20.61 MB
  • Authors: Curtis R. Vogel

Description

Inverse problems arise in a number of important practical applications, ranging from biomedical imaging to seismic prospecting. This book provides the reader with a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems. It also addresses specialized topics like image reconstruction, parameter identification, total variation methods, nonnegativity constraints, and regularization parameter selection methods. Because inverse problems typically involve the estimation of certain quantities based on indirect measurements, the estimation process is often ill-posed. Regularization methods, which have been developed to deal with this ill-posedness, are carefully explained in the early chapters of Computational Methods for Inverse Problems. The book also integrates mathematical and statistical theory with applications and practical computational methods, including topics like maximum likelihood estimation and Bayesian estimation. Several web-based resources are available to make this monograph interactive, including a collection of MATLAB m-files used to generate many of the examples and figures. These resources enable readers to conduct their own computational experiments in order to gain insight. They also provide templates for the implementation of regularization methods and numerical solution techniques for other inverse problems. Moreover, they include some realistic test problems to be used to further develop and test various numerical methods.

User’s Reviews

Editorial Reviews: About the Author Curtis R. Vogel is a Professor in the Department of Mathematical Sciences at Montana State University. His research interests include numerical analysis, mathematical modeling, optimization, inverse and ill-posed problems, and scientific computing. He has written many refereed articles and reports on these topics.

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐Clear text. Need to have appropriate background, from reading e.g. Menke or Aster.One big problem–there appears to be no way to obtain the promised MATLAB codes accompanying this book. The link is nonfunctional and I can’t find any other active link. If someone has found a link to the codes, please reply!

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