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Linear and Nonlinear Inverse Problems with Practical Applications (Computational Science and Engineering)

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Linear and Nonlinear Inverse Problems with Practical Applications (Computational Science and Engineering) Paperback - 2012

by M

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  • Paperback
Used: Good

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Society for Industrial and Applied Mathematics (SIAM), 2012-11-15. Illustrated. paperback. Used: Good. 7.00x0.75x10.00. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Linear and Nonlinear Inverse Problems with Practical Applications (Computational Science and Engineering)
  • Author M
  • Binding Paperback
  • Edition Illustrated
  • Condition Used: Good
  • Pages 351
  • Language ENG
  • Publisher Society for Industrial and Applied Mathematics (SIAM)
  • Publication date 2012-11-15
  • Bookseller's Inventory # SONG1611972337
  • ISBN 9781611972337
  • Weight 0.09 lbs (0.04 kg)
  • Size 7.00x0.75x10.00
  • Quantity available 1

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Reader reviews for Linear and Nonlinear Inverse Problems with Practical Applications (Computational Science and Engineering)

From the publisher

Inverse problems arise in practical applications whenever there is a need to interpret indirect measurements. This book explains how to identify ill-posed inverse problems arising in practice and gives a hands-on guide to designing computational solution methods for them, with related codes on an accompanying website. The guiding linear inversion examples are the problem of image deblurring, x-ray tomography, and backward parabolic problems, including heat transfer. A thorough treatment of electrical impedance tomography is used as the guiding nonlinear inversion example which combines the analytic-geometric research tradition and the regularization-based school of thought in a fruitful manner. This book is complete with exercises and project topics, making it ideal as a classroom textbook or self-study guide for graduate and advanced undergraduate students in mathematics, engineering or physics who wish to learn about computational inversion. It also acts as a useful guide for researchers who develop inversion techniques in high-tech industry.
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