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The Factorization Method for Inverse Problems

The Factorization Method for Inverse Problems

The Factorization Method for Inverse Problems
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The Factorization Method for Inverse Problems Hardback - 2008

by Kirsch, Andreas & Natalia Grinberg

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  • Hardback
Used - Fine with No dust jacket as issued

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NY: Oxford University Press. Fine with No dust jacket as issued. 2008. Hardcover. 0199213534 . A nice, clean copy. ; Oxford Lecture Series in Mathematics and Its Applications; Vol. 36; 0.87 x 9.37 x 6.14 Inches; 199 pages .
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Details

  • Title The Factorization Method for Inverse Problems
  • Author Kirsch, Andreas & Natalia Grinberg
  • Binding Hardback
  • Edition 1ST
  • Condition Used - Fine with No dust jacket as issued
  • Pages 216
  • Volumes 1
  • Language ENG
  • Publisher Oxford University Press, NY
  • Publication date 2008
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # 313101
  • ISBN 9780199213535 / 0199213534
  • Weight 1 lbs (0.45 kg)
  • Dimensions 9.2 x 6.1 x 0.8 in (23.37 x 15.49 x 2.03 cm)
  • Category Mathematics
  • Library of Congress subjects Factorization (Mathematics), Inverse problems (Differential equations)
  • Library of Congress Catalogue Number 2008297112
  • Dewey Decimal Code 515.35

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From the publisher

The factorization method is a relatively new method for solving certain types of inverse scattering problems in tomography. Aimed at students and researchers in Applied Mathematics, Physics, and Engineering, this text introduces the reader to this promising approach for solving important classes of inverse problems. The wide applicability of this method is discussed by choosing typical examples, such as inverse scattering problems for the scalar Helmholtz equation, a scattering problem for Maxwell's equation, and a problem in impedance and optical tomography. The last section of the book compares the Factorization Method to established sampling methods (the Linear Sampling Method, the Singular Method, and the Probe Method)

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